Ratings and Reviews 0 Ratings
Ratings and Reviews 0 Ratings
Alternatives to Consider
-
StarTreeStarTree Cloud functions as a fully-managed platform for real-time analytics, optimized for online analytical processing (OLAP) with exceptional speed and scalability tailored for user-facing applications. Leveraging the capabilities of Apache Pinot, it offers enterprise-level reliability along with advanced features such as tiered storage, scalable upserts, and a variety of additional indexes and connectors. The platform seamlessly integrates with transactional databases and event streaming technologies, enabling the ingestion of millions of events per second while indexing them for rapid query performance. Available on popular public clouds or for private SaaS deployment, StarTree Cloud caters to diverse organizational needs. Included within StarTree Cloud is the StarTree Data Manager, which facilitates the ingestion of data from both real-time sources—such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda—and batch data sources like Snowflake, Delta Lake, Google BigQuery, or object storage solutions like Amazon S3, Apache Flink, Apache Hadoop, and Apache Spark. Moreover, the system is enhanced by StarTree ThirdEye, an anomaly detection feature that monitors vital business metrics, sends alerts, and supports real-time root-cause analysis, ensuring that organizations can respond swiftly to any emerging issues. This comprehensive suite of tools not only streamlines data management but also empowers organizations to maintain optimal performance and make informed decisions based on their analytics.
-
Google Cloud BigQueryBigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.
-
RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
-
AnalyticsCreatorAccelerate your data initiatives with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, and blended modeling strategies that combine best practices from across methodologies. Seamlessly integrate with key Microsoft technologies such as SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline generation, data modeling, historization, and semantic model creation—reducing tool sprawl and minimizing the need for manual SQL coding across your data engineering lifecycle. Designed for CI/CD-driven data engineering workflows, AnalyticsCreator connects easily with Azure DevOps and GitHub for version control, automated builds, and environment-specific deployments. Whether working across development, test, and production environments, teams can ensure faster, error-free releases while maintaining full governance and audit trails. Additional productivity features include automated documentation generation, end-to-end data lineage tracking, and adaptive schema evolution to handle change management with ease. AnalyticsCreator also offers integrated deployment governance, allowing teams to streamline promotion processes while reducing deployment risks. By eliminating repetitive tasks and enabling agile delivery, AnalyticsCreator helps data engineers, architects, and BI teams focus on delivering business-ready insights faster. Empower your organization to accelerate time-to-value for data products and analytical models—while ensuring governance, scalability, and Microsoft platform alignment every step of the way.
-
SynchredibleSynchredible simplifies the process of synchronizing, copying, and backing up both individual folders and entire drives, all with just one click. Its user-friendly assistant leads you through each step of creating tasks that can be scheduled, activated by changes through real-time monitoring, or automatically run when an external drive is connected. Effortlessly maintain synchronization of your data while managing it with ease! With years of reliable technology behind it, Synchredible goes beyond merely transferring data from one location to another; it also facilitates bidirectional synchronization. The software intelligently identifies changes and ensures that the most recently modified files are synchronized efficiently. By incorporating advanced duplicate detection, Synchredible optimizes the process by omitting unchanged files, allowing for rapid synchronization of extensive datasets in mere seconds! In addition to its impressive capabilities, Synchredible is extremely adaptable, offering support for local folder synchronization, as well as synchronization across network and USB devices, and even with cloud storage solutions. This makes it a comprehensive tool for anyone looking to keep their data organized and up-to-date.
-
DittoDitto is the only mobile database that comes with built-in edge connectivity and offline resilience, allowing apps to sync data without depending on servers or continuous access to the cloud. As billions of mobile and edge devices—and the deskless workers using them—form the backbone of modern operations, organizations are running into the constraints of conventional cloud-first systems. Used by leaders like Chick-fil-A, Delta, Lufthansa, and Japan Airlines, Ditto is at the forefront of the edge-native movement, reshaping how businesses operate, sync, and stay connected beyond the cloud. By removing the need for external hardware, Ditto’s software-based networking lets companies develop faster, more fault-tolerant applications that perform even in disconnected environments—no cloud, server, or Wi-Fi required. Leveraging CRDTs and peer-to-peer mesh replication, Ditto allows developers to build robust, collaborative applications where data remains consistent and available to all users—even during complete offline scenarios. This ensures business-critical systems remain functional exactly when they’re needed most. Ditto follows an edge-native design philosophy. Unlike cloud-centric approaches, edge-native systems are optimized to run directly on mobile and edge devices. With Ditto, devices automatically discover and talk to each other, forming dynamic mesh networks instead of routing data through the cloud. The platform seamlessly handles complex connectivity across online and offline modes—Bluetooth, P2P Wi-Fi, LAN, Cellular, and more—to detect nearby devices and sync updates in real time.
-
PeerGFSAn All-Inclusive Solution for Efficient File Orchestration and Management Across Edge, Data Center, and Cloud Storage PeerGFS offers a uniquely software-driven approach tailored to tackle the complexities of file management and replication in multi-site and hybrid multi-cloud setups. With over 25 years of industry experience, we focus on file replication for organizations with distributed locations, providing numerous advantages for your operations: Increased Availability: Attain elevated availability through Active-Active data centers, whether they are hosted on-premises or in the cloud. Edge Data Security: Protect your essential data at the Edge with ongoing safeguards to the central Data Center. Boosted Productivity: Facilitate distributed project teams by granting them rapid, local access to essential file resources. In the current landscape, maintaining a real-time data infrastructure is crucial for success. PeerGFS effortlessly meshes with your current storage solutions, accommodating: High-volume data replication across linked data centers. Wide area networks that often experience lower bandwidth and increased latency. You can take comfort in knowing that PeerGFS is built for ease of use, ensuring that both installation and management are straightforward tasks. Moreover, our commitment to customer support means you’ll always have assistance when needed.
-
NetSuiteOracle NetSuite is the leading AI-powered Cloud ERP platform, empowering organizations to connect and optimize every aspect of their business. Built on the principle of a single source of truth, NetSuite eliminates silos by integrating ERP, financials, CRM, ecommerce, HCM, and analytics into one centralized cloud solution. Its AI capabilities go beyond automation by analyzing real-time business data to deliver predictive insights, personalized recommendations, and actionable forecasts. With more than 42,000 customers, NetSuite is trusted by businesses across industries and geographies for its scalability and reliability. Companies can leverage it to automate accounting, streamline financial close processes, and manage complex global operations with ease. Its CRM and HR features enhance customer engagement and workforce efficiency, while its professional services automation helps teams manage projects, billing, and resources more effectively. For commerce-driven organizations, NetSuite offers omnichannel commerce capabilities that unify online, in-store, and B2B sales, providing a seamless customer experience. The built-in analytics and reporting modules give leaders real-time visibility into performance across departments, enabling faster, data-driven decision-making. Oracle further strengthens NetSuite with consulting, support, and partner ecosystems, ensuring smooth deployment and ongoing optimization. By blending advanced AI, robust business functionality, and global scale, NetSuite sets the standard for modern enterprise resource planning.
-
HoptedHopted is a powerful data automation platform that transforms Google Sheets into a live business dashboard by connecting it directly with the tools your business relies on — including Amazon Seller Central, Shopify, and more. Built for operators, analysts, and business owners, Hopted simplifies how teams access, update, and act on their data — all from the comfort of a spreadsheet. Instead of exporting CSVs, formatting reports, and manually refreshing dashboards, Hopted pulls real-time data directly into Google Sheets. Track performance metrics, financial data, ad spend, inventory levels, and more — always up to date, always reliable. Whether you’re reporting on sales, analyzing profitability, or collaborating on growth initiatives, your team gets the full picture without version chaos or stale data. What sets Hopted apart is its 2-way sync capability. You can not only extract data from your apps into Sheets, but also push updates back — whether it’s adjusting listings in Amazon Seller Central or syncing changes to other tools in your stack. This turns your spreadsheet from a static report into an active control center. For Amazon sellers, this means syncing FBA, AWD, and Ads data directly into Sheets, calculating true profitability, managing inventory in real-time, and spotting operational inefficiencies fast. For agencies and consultants, it means scaling insights across multiple accounts with standardized workflows and fewer errors. Hopted is cloud-based, easy to implement, and designed to work for teams of all sizes. With customizable workflows, scheduled syncs, and full visibility into your data, Hopted helps you save time, reduce risk, and make smarter decisions faster — right where your team already works. Say goodbye to CSV chaos and manual workflows. With Hopted, your spreadsheets become a true source of operational clarity and control.
-
6Storage6Storage is an all-in-one software platform designed to simplify and optimize self-storage operations for businesses of every size. Built with scalability in mind, 6Storage allows owners and operators to manage single or multi-site facilities with ease, whether working onsite or remotely. The platform automates critical workflows, including unit rentals, tenant onboarding, billing, invoicing, and payment processing. It also centralizes communication, integrates access control through 6Security, and provides real-time analytics to support smarter business decisions. Customizable dashboards and automation tools help reduce manual tasks, minimize errors, and maximize operational efficiency. With built-in tenant protection options, flexible integrations, and intuitive user design, 6Storage helps operators boost revenue while delivering a seamless and modern tenant experience. From small independent facilities to large portfolios, 6Storage gives businesses the tools they need to save time, grow faster, and stay ahead in a competitive self-storage market.
What is VeloDB?
VeloDB, powered by Apache Doris, is an innovative data warehouse tailored for swift analytics on extensive real-time data streams.
It incorporates both push-based micro-batch and pull-based streaming data ingestion processes that occur in just seconds, along with a storage engine that supports real-time upserts, appends, and pre-aggregations, resulting in outstanding performance for serving real-time data and enabling dynamic interactive ad-hoc queries.
VeloDB is versatile, handling not only structured data but also semi-structured formats, and it offers capabilities for both real-time analytics and batch processing, catering to diverse data needs. Additionally, it serves as a federated query engine, facilitating easy access to external data lakes and databases while integrating seamlessly with internal data sources.
Designed with distribution in mind, the system guarantees linear scalability, allowing users to deploy it either on-premises or as a cloud service, which ensures flexible resource allocation according to workload requirements, whether through the separation or integration of storage and computation components.
By capitalizing on the benefits of the open-source Apache Doris, VeloDB is compatible with the MySQL protocol and various functions, simplifying integration with a broad array of data tools and promoting flexibility and compatibility across a multitude of environments.
This adaptability makes VeloDB an excellent choice for organizations looking to enhance their data analytics capabilities without compromising on performance or scalability.
What is Apache DataFusion?
Apache DataFusion is a highly adaptable and capable query engine developed in Rust, which utilizes Apache Arrow for efficient in-memory data handling. It is intended for developers who are working on data-centric systems, including databases, data frames, machine learning applications, and real-time data streaming solutions. Featuring both SQL and DataFrame APIs, DataFusion offers a vectorized, multi-threaded execution engine that efficiently manages data streams while accommodating a variety of partitioned data sources. It supports numerous native file formats, including CSV, Parquet, JSON, and Avro, and integrates seamlessly with popular object storage services such as AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture is equipped with a sophisticated query planner and an advanced optimizer, which includes features like expression coercion, simplification, and distribution-aware optimizations, as well as automatic join reordering for enhanced performance. Additionally, DataFusion provides significant customization options, allowing developers to implement user-defined scalar, aggregate, and window functions, as well as integrate custom data sources and query languages, thereby enhancing its utility for a wide range of data processing scenarios. This flexibility ensures that developers can effectively adjust the engine to meet their specific requirements and optimize their data workflows.
Integrations Supported
Amazon S3
Apache Arrow
Apache Avro
Apache Doris
Apache Flink
Apache Kafka
Apache Parquet
Apache Spark
Azure Blob Storage
C
Integrations Supported
Amazon S3
Apache Arrow
Apache Avro
Apache Doris
Apache Flink
Apache Kafka
Apache Parquet
Apache Spark
Azure Blob Storage
C
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
VeloDB
Date Founded
2023
Company Location
Singapore
Company Website
www.velodb.io
Company Facts
Organization Name
Apache Software Foundation
Date Founded
2019
Company Location
United States
Company Website
datafusion.apache.org
Categories and Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Categories and Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization