
RaimaDB 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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Dynamo brings together all the essential tools for alternative investment management into one adaptable platform. Our modules are built on a unified technology stack, creating a centralized and automated solution for private equity, venture capital, real estate, infrastructure, hedge funds, endowments, pensions, foundations, prime brokers, fund of funds, family offices, and fund administrators.
By automating manual tasks with customizable dashboards, workflows, and reporting, Dynamo reduces your operational load. This frees up your team to focus on the insights and relationships that drive success.
Our experienced Client Services and Support team is dedicated to ensuring you achieve lasting excellence, helping you tailor the platform to your unique business needs. This commitment to client success is a core part of what sets Dynamo apart.
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Amazon DynamoDB Accelerator (DAX)
Amazon DynamoDB is designed to efficiently manage large-scale operations while maintaining outstanding performance metrics. The response times associated with DynamoDB are remarkably low, typically registering in the single-digit millisecond range. However, certain applications require even faster response times, pushing into the microsecond territory, which is where DynamoDB Accelerator (DAX) becomes essential, providing swift access to eventually consistent data. DAX streamlines both the management of operations and the development of applications by functioning as a fully managed service that retains complete API compatibility with DynamoDB, enabling existing applications to require only minor modifications. For workloads characterized by a high volume of reads or those that face unexpected surges in demand, DAX significantly boosts throughput and can lead to reduced operational costs by decreasing the necessity for excessive read capacity units. This capability is especially beneficial for applications that often access the same keys, empowering them to operate efficiently even as load conditions fluctuate. By leveraging DAX, developers can ensure that their applications remain responsive and cost-effective, making it an ideal choice for tackling performance challenges in high-demand environments. Ultimately, DAX enhances the overall user experience by providing rapid data retrieval while optimizing resource utilization.
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DynoTable
DynoTable is a local-first graphical tool designed for interacting with Amazon DynamoDB, and it is compatible with macOS (Apple Silicon), Windows, and Linux (.deb/.rpm). This desktop application features an SQL Workbench that allows users to run real SELECT queries with capabilities for JOINs, GROUP BY, and various aggregations including SUM, AVG, and COUNT DISTINCT, all while managing live data seamlessly. Before any query is executed, DynoTable offers a preview of the execution plan, outlining whether a Scan or Query will be used, identifying the index involved, and providing an estimate of Read Capacity Units (RCU) to help users gauge potential expenses. Its Smart Tables function facilitates easy joining of tables using primary keys or global secondary indexes, featuring real-time recomputation that eliminates the necessity for schema migrations or ETL processes. Furthermore, an integrated AI agent, which operates with your Amazon Bedrock keys, evaluates your schema, crafts queries, and recommends write operations without transmitting any prompts, schema, or row data beyond your AWS account. Connection to tools like Claude Code, Cursor, and Codex is enabled via MCP, which ensures that external agents cannot perform direct writes; rather, all modifications are routed through a staging area for user assessment and approval before finalizing changes. DynoTable interacts directly with AWS using your credentials, strictly complying with the permissions set forth in your IAM policy and offering full compatibility with AWS SSO, aws-vault, and DynamoDB Local environments. As a result, DynoTable stands out as a secure and effective solution for managing DynamoDB databases across various operating systems while enhancing user experience and data control.
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