Best Data Management Software for Apache Cassandra

DBHawk enabled our customers to comply with GDPR and HIPAA, SOX and GLBA regulations. Self-Service BI & Adhoc Reporting Tool that allows you to set Data Access Policy, connect to multiple data sources, create powerful SQL charts, and dashboards. DBHawk SQL editor allows users to create, edit, and run SQL queries via a web-based interface. DBHawk Query Maker is compatible with all major databases, including Oracle, Microsoft SQL Server and PostgreSQL. A web-based central tool allows you to automate SQL tasks and batch jobs. Our all-in-one data platform provides secure access to SQL, NoSQL, and Cloud databases. Our customers trust us to protect their data and allow them to access it. Centralized Security, Auditing, and insights into your user's activities.

Kapacitor, a native data processing engine in InfluxDB 1.x, is an integral component of the InfluxDB 2.0 platform. Kapacitor is able to process both batch and stream data from InfluxDB. It can also act on these data in real time via its programming language TICKscript. Modern applications need more than operator alerts and dashboarding. They also require the ability to trigger actions. Kapacitor's alerting system uses a publish-subscribe design. Alerts are sent to topics, and subscribers subscribe to a topic. Kapacitor is very flexible and can be used to control your environment. It can perform tasks such as stock reordering and auto-scaling. Kapacitor has a simple plugin architecture (or interface) that allows it integrate with any anomaly detector engine.

A fully interactive SQL editor allows you to create and execute queries. JackDB offers everything you need in a database client: syntax highlighting and code formatting as well as intelligent autocompletion. Snippets let you save and share your most important SQL queries. Simply create and save any query in JackDB and then share the snippet with your team. Everyone has access to the latest version of a snippet if anyone updates it. JackDB is committed to security. Roles are a convenient and secure way of limiting database access to authorized users, and granting new users access to data sources. You can view everything in your database, not just views and tables. View your schemas, indexes, and other system details like tablespaces or user sessions.

What is Presto? Presto is a distributed, federated SQL query engine that runs on multiple machines. It allows interactive, ad-hoc analysis on large quantities of data. You can run Presto SQL queries against your data. PrestoDB allows you to query data wherever it is located, including Hive and AWS S3, Hadoop and Cassandra, as well as relational databases, NoSQL database, or proprietary data stores. Presto is an open-source engine that allows users to access multiple sources of data, allowing them to perform analytics across the entire organization. A complete Presto installation requires a coordinator and multiple workers. Queries are sent from clients such as the Presto client to the coordinator. The coordinator analyzes, plans, and executes Presto queries.

Smart DIH is a data management platform that quickly serves applications with accurate, fresh and complete data, delivering high performance, ultra-low latency, and an always-on digital experience. Smart DIH decouples APIs from SoRs, replicating critical data, and making it available using event-driven architecture. Smart DIH enables drastically shorter development cycles of new digital services, and rapidly scales to serve millions of concurrent users – no matter which IT infrastructure or cloud topologies it relies on. Smart Cache is a distributed in-memory development platform that delivers transactional consistency, combined with extreme event-based processing and microsecond latency. The platform fuels core business solutions that rely on instantaneous data, including online trading, real-time risk management and data processing for AI and large language models.

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

Astra DB from DataStax is a real-time vector database as a service for developers that need to get accurate Generative AI applications into production, fast. Astra DB gives you a set of elegant APIs supporting multiple languages and standards, powerful data pipelines and complete ecosystem integrations. Astra DB enables you to quickly build Gen AI applications on your real-time data for more accurate AI that you can deploy in production. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management. SAML SSO secure account accessibility. You can deploy on Amazon, Google Cloud, or Microsoft Azure while still compatible with open-source Apache Cassandra.

Our cloud account connections (AWS, Azure, and GCP) are easy to establish with our agentless data discovery platform and scanning platform. There is nothing to install or manage. All native cloud data stores are supported, whether they are structured or unstructured. Normalyze scans your cloud accounts for both structured and unstructured data. It only collects metadata to be added to the Normalyze graph. During scanning, no sensitive data is collected. A graph of trust and access relationships is displayed in real-time. It includes fine-grained context, process names, data store fingerprints, IAM role and policies. Locate all sensitive data stores, identify all access paths, and score possible breach paths based upon sensitivity, volume, or permissions. This will allow you to quickly show all breaches that are waiting to happen. Identify sensitive data-based industry profiles like PCI, HIPAA and GDPR.

You can deploy production-ready change data capture pipes for high-volume, real time data replication without writing a single line code. Supercharged Change Data Capture. Arcion's distributed Change Data Capture, CDC, allows for automatic schema conversion, flexible deployment, end-to-end replication and much more. Arcion's zero-data loss architecture ensures end-to-end consistency and built-in checkpointing. You can forget about performance and scalability concerns with a distributed, highly parallel architecture that supports 10x faster data replication. Arcion Cloud is the only fully managed CDC offering. You'll enjoy autoscaling, high availability, monitoring console and more. Reduce downtime and simplify data pipelines architecture.

Azure Managed Instances for Apache Cassandra allows you to run mission-critical workloads cost-effectively at scale. Multiple resource and data replicating options make it easy to manage changing demands. Scalability with zero downtime is essential for hybrid and cloud deployments. Cassandra's familiar tools and languages will help you develop applications faster. You can free yourself from infrastructure management, without compromising on security. Managed, secure services streamline operations by automating repairs, patches and updates. Automatic backups and disaster-recovery will make your database more resilient and durable. Turnkey scaling services, hybrid deployments and other options will allow you to retain flexibility and control over your hardware configuration. A pricing model that is based on instances allows you to specify the number of CPUs, virtual machine SKUs, and memory/disk needs.

Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.

Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code. Airflow is downloaded more than 4 million times each month and is used by hundreds of thousands of teams around the world. For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Founded in 2018, Astronomer is a global remote-first company with hubs in Cincinnati, New York, San Francisco, and San Jose. Customers in more than 35 countries trust Astronomer as their partner for data orchestration.

Cloud environments can be quickly set up for quick development, testing, and productivity for your IT staff and business users. Comprehensive data governance for business users will reduce the risks and cost of maintaining your data lakes. You can save money by providing consistent, timely, and clean information for your data lakes, big data projects, and data warehouses. Also, consolidate applications and retire outdated databases. Automatic schema propagation can be used to accelerate job generation, type-ahead searching, and backwards capabilities. All this while designing once and executing everywhere. With a cognitive design that recognizes patterns and suggests ways to use them, you can create data integration flows and enforce quality rules and data governance. You can improve visibility and information governance by creating authoritative views of information that are complete and authoritative.

Nucleon Database Master is an intuitive, modern, powerful and simple to use database administration, management, and query software. It has a consistent and modern interface. Database Master makes it easy to manage, monitor, query, edit, visualize, design relational and NoSQL DBMSMS. Database Master lets you execute extended SQL, JQL, and C# (Linq), query scripts. It also provides all database objects, such as tables, views and procedures, columns, indexes and relationships (constraints), collection, triggers, and other objects.

Titan is a graph database that can store and query graphs with hundreds of billions of edges and vertices distributed across a multi-machine cluster. Titan is a transactional database which can handle thousands of concurrent users performing complex graph traversals in real-time. For a growing user and data base, you can use linear and elastic scaling. Data replication and data distribution for performance and fault tolerance. Hot backups and high availability for multi-datacenters Support for ACID, eventual consistency and other storage backends. Support for Apache Cassandra and Apache HBase storage backends, as well as Oracle BerkeleyDB. Integration with big data platforms such as Apache Spark, Apache Giraph, and Apache Hadoop allows for global graph data analytics, reporting and ETL. Native integration with TinkerPop graph stack to support Gremlin's graph query language, Gremlin's graph server, and Gremlin apps.

Allow everyone to view and discover streaming data. Up to 95% of productivity can be increased by sharing, documenting, and cataloging data. Next, create apps for production use cases using the data. To address privacy concerns and cover all the gaps in open source technology, apply a data-centric security approach. Secure and low-code data pipeline capabilities. All darkness is eliminated and data and apps can be viewed with unparalleled visibility. Unify your data technologies and data meshes and feel confident using open source production. Independent third-party reviews have rated Lenses the best product for real time stream analytics. We have built features to allow you to focus on what is driving value from real-time data. This was based on feedback from our community as well as thousands of engineering hours. You can deploy and run SQL-based real-time applications over any Kafka Connect, Kubernetes or Kubernetes infrastructure, including AWS EKS.

The ever-on economy of today is creating data at an ever-increasing rate. It's important to be data-driven so that you can react quickly to new opportunities and stay ahead of your competitors. What if data provisioning and preparation could be simplified? What if you could share data insights across teams and perform database analysis more efficiently? Imagine if you could do this with a time saving of up to 40% Toad Intelligence Central, a server-based application, can be used in conjunction with Toad(r] Data Point. It transfers power back into your business at a cost-effective price. Secure, controlled access to SQL scripts, project artifacts and automation workflows can improve collaboration among Toad users. Advanced data connectivity allows you to easily abstract structured and unstructured data sources to create refreshable datasets that can be used by any Toad user.

A powerful MySQL Administration and Development Solution. SQLyog Ultimate allows database administrators, developers, and architects to visually compare and optimize schemas. SQLyog Ultimate comes with a powerful tool that automates and schedules the synchronization between two MySQL hosts. Use the interactive wizard to create the job definition file. The tool doesn't require installation on MySQL hosts. The tool can be run on any host. SQLyog Ultimate comes with a powerful tool that allows you to interactively sync data. To compare data source and target, run the tool in attended mode. Use the intuitive display to compare data from source and target for each row to determine if it should be synchronized in which way. SQLyog Ultimate offers a powerful tool that allows you to interactively compare and sync schema. Compare the differences between tables, columns, indexes, and routines in two databases.

GaussDB (for MySQL) is a next-generation, enterprise-class distributed database service that is MySQL-compatible. It utilizes a decoupled storage and compute architecture, and data functions virtualization storage (DFV), which auto-scales to 128 TB per DB instances. There is virtually zero risk of data loss. It can support millions of QPS throughputs, cross-AZ deployment, and combines the reliability and performance of commercial databases with open source databases. You can achieve seven times the performance of open source databases by decoupling compute from storage, connecting them via RDMA, using a "log-as-database" architecture, and getting seven times as much performance. You can add up to 15 replicas per primary node in minutes to increase read capacity and performance. GaussDB (for MySQL) is fully compatible. You can migrate your MySQL databases to GaussDB (for MySQL) easily without having to rebuild existing applications or sharding.

An end-to-end solution gives you all the tools your data science team needs to scale your machine learning development, from research to production. cnvrg.io, the world's leading data science platform for MLOps (model management) is a leader in creating cutting-edge machine-learning development solutions that allow you to build high-impact models in half the time. In a collaborative and clear machine learning management environment, bridge science and engineering teams. Use interactive workspaces, dashboards and model repositories to communicate and reproduce results. You should be less concerned about technical complexity and more focused on creating high-impact ML models. The Cnvrg.io container based infrastructure simplifies engineering heavy tasks such as tracking, monitoring and configuration, compute resource management, server infrastructure, feature extraction, model deployment, and serving infrastructure.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

KairosDB can push data via multiple protocols: Telnet Rest, Graphite, and Rest. You can also use plugins and other mechanisms. KairosDB stores time series using Cassandra NoSQL datastore. The schema is composed of three column families. This API allows you to list existing metric names, value tags, store metric data, and query for metric points. KairosDB will automatically install the query page. This page allows you to query data stored in the data store. It is intended for development purposes only. Aggregators can perform operations on data points and down samples. You can use standard functions such as min, max, sum and count to calculate the mean, mean, count, mean, and other parameters. The command line allows you to import and export data from the KairosDB server. The server's performance can be monitored internally by the data store.

Meltano offers the most flexibility in deployment options. You control your data stack from beginning to end. Since years, a growing number of connectors has been in production. You can run workflows in isolated environments and execute end-to-end testing. You can also version control everything. Open source gives you the power and flexibility to create your ideal data stack. You can easily define your entire project in code and work confidently with your team. The Meltano CLI allows you to quickly create your project and make it easy to replicate data. Meltano was designed to be the most efficient way to run dbt and manage your transformations. Your entire data stack can be defined in your project. This makes it easy to deploy it to production.

Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.