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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.
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What is Sphinx?
Sphinx is an efficient, open-source full-text search engine crafted to enhance search quality, performance, and integration ease. Developed in C++, it is compatible with a variety of operating systems, including Linux distributions like RedHat and Ubuntu, as well as Windows, MacOS, Solaris, FreeBSD, and more. The engine accommodates both batch indexing and real-time data searching from SQL databases, NoSQL sources, or even simple files, offering a versatile querying experience akin to that of a standard database server. With numerous text processing tools available, users can tailor its features to align with the unique needs of their applications, and various relevance tuning options significantly improve the quality of search outcomes. SphinxAPI necessitates just three lines of code to perform searches, while SphinxQL allows users to craft queries using familiar SQL syntax, making the process even easier. Impressively, Sphinx can index between 10 to 15 MB of text per second for each CPU core, resulting in indexing speeds exceeding 60 MB per second on dedicated servers. Given its extensive capabilities and high efficiency, Sphinx emerges as a top-tier option for developers looking for a customizable search solution that meets their specific demands, ultimately enhancing user experience in their applications.
What is ChaosSearch?
Log analytics doesn't need to be excessively costly. Numerous logging solutions depend on technologies such as Elasticsearch databases or Lucene indexes, which can drive up operational expenses significantly. ChaosSearch provides an innovative solution by rethinking the indexing approach, allowing us to pass on substantial savings to our customers. You can investigate our competitive pricing benefits using our comparison calculator. As a fully managed SaaS platform, ChaosSearch empowers users to focus on searching and analyzing data stored in AWS S3, eliminating the hassle of database maintenance and adjustments. By leveraging your existing AWS S3 infrastructure, we manage everything else for you. To grasp how our unique methodology and architecture can cater to the needs of modern data and analytics, make sure to check out this short video. ChaosSearch processes your data in its original state, enabling log, SQL, and machine learning analytics without requiring transformation, while also automatically identifying native schemas. This positions ChaosSearch as an excellent alternative to traditional Elasticsearch solutions. Moreover, the efficiency of our platform allows for seamless scalability of your analytics capabilities as your data requirements expand, ensuring that you are always equipped to handle growing workloads effectively.
Integrations Supported
AWS CloudTrail
Amazon CloudFront
Amazon S3
Amazon Web Services (AWS)
Cloudflare
Crowdin
Dash
Fastly
Mermaid Chart
MySQL
Integrations Supported
AWS CloudTrail
Amazon CloudFront
Amazon S3
Amazon Web Services (AWS)
Cloudflare
Crowdin
Dash
Fastly
Mermaid Chart
MySQL
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$750 per month
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
Sphinx
Date Founded
2007
Company Location
United States
Company Website
sphinxsearch.com
Company Facts
Organization Name
ChaosSearch
Date Founded
2016
Company Location
United States
Company Website
chaossearch.io
Categories and Features
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery
Log Management
Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs