Best Data Management Software for Linux - Page 12
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Compare the Top Data Management Software for Linux as of September 2026 - Page 12
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1
IBM Informix
IBM
IBM Informix® is a fast and flexible database with the ability to seamlessly integrate SQL, NoSQL/JSON, and time series and spatial data. Its versatility and ease of use make Informix a preferred solution for a wide range of environments, from enterprise data warehouses to individual application development. Also, with its small footprint and self-managing capabilities, Informix is well suited for embedded data-management solutions. IoT data demands robust processing and integration capabilities. Informix offers a hybrid database system with minimal administrative requirements and memory footprint combined with powerful functionality. Key features make Informix ideal for multi-tiered architectures that require processing at the device level, at gateway layers and in the cloud. Native encryption to protect data at rest and in motion. Support for flexible schema, multiple APIs and configurations. -
2
Arcserve UDP
Arcserve
Ransomware has become a big business for cybercriminals. You do not want to be their “customer.” Your organization risks losing not only money but also irreplaceable data, time, and brand reputation. You need to protect your company’s business systems and data from attacks or loss, along with the increased resiliency that can only come from simplifying processes across all storage platforms, whether local, virtual, or cloud. What you don’t need is more products to manage. Arcserve UDP software delivers an all-in-one data and ransomware protection solution to neutralize ransomware attacks, restore data, and perform effective disaster recovery (DR). Safeguarded by Sophos Intercept X Advanced cybersecurity, Arcserve UDP uniquely combines deep-learning server protection, immutable storage, and scalable onsite and offsite business continuity for a multilayered approach that delivers complete IT resiliency for your virtual, physical, and cloud infrastructures. -
3
Qlik Replicate
Qlik
Qlik Replicate is a high-performance data replication tool offering optimized data ingestion from a broad array of data sources and platforms and seamless integration with all major big data analytics platforms. Replicate supports bulk replication as well as real-time incremental replication using CDC (change data capture). Our unique zero-footprint architecture eliminates unnecessary overhead on your mission-critical systems and facilitates zero-downtime data migrations and database upgrades. Database replication enables you to move or consolidate data from a production database to a newer version of the database, another type of computing environment, or an alternative database management system, to migrate data from SQL Server to Oracle, for example. Data replication can be used to offload production data from a database, and load it to operational data stores or data warehouses for reporting or analytics. -
4
SQLstream
Guavus, a Thales company
SQLstream ranks #1 for IoT stream processing & analytics (ABI Research). Used by Verizon, Walmart, Cisco, & Amazon, our technology powers applications across data centers, the cloud, & the edge. Thanks to sub-ms latency, SQLstream enables live dashboards, time-critical alerts, & real-time action. Smart cities can optimize traffic light timing or reroute ambulances & fire trucks. Security systems can shut down hackers & fraudsters right away. AI / ML models, trained by streaming sensor data, can predict equipment failures. With lightning performance, up to 13M rows / sec / CPU core, companies have drastically reduced their footprint & cost. Our efficient, in-memory processing permits operations at the edge that are otherwise impossible. Acquire, prepare, analyze, & act on data in any format from any source. Create pipelines in minutes not months with StreamLab, our interactive, low-code GUI dev environment. Export SQL scripts & deploy with the flexibility of Kubernetes. -
5
Fluentd
Fluentd Project
A single, unified logging layer is key to make log data accessible and usable. However, existing tools fall short: legacy tools are not built for new cloud APIs and microservice-oriented architecture in mind and are not innovating quickly enough. Fluentd, created by Treasure Data, solves the challenges of building a unified logging layer with a modular architecture, an extensible plugin model, and a performance optimized engine. In addition to these features, Fluentd Enterprise addresses Enterprise requirements such as Trusted Packaging. Security. Certified Enterprise Connectors, Management / Monitoring, and Enterprise SLA-Based Support, Assurance, and Enterprise Consulting Services -
6
LinkedAI
LinkedAi
We label your data with the higher quality standards to fulfill the needs of the most complex AI projects, using our proprietary labeling platform. Now you can get back to creating the products your customers love. We provide an end-to-end solution for image annotation with fast labeling tools, synthetic data generation, data management, automation features and annotation services on-demand with integrated tooling to accelerate and finish computer vision projects. When every pixel matters, you need accurate, AI-powered intuitive image annotation tools to support your specific use case, including instances, attributes and much more. Our in-house highly trained data labelers are able to deal with any data challenge. As your data labeling needs grow over time, you can count on us to scale the workforce necessary to meet your goals, and in contrast to crowdsourcing platforms your data quality will not suffer. -
7
Backtrace
Backtrace
Don’t let app, device, or game crashes get in the way of a great experience. Backtrace takes all the manual labor out of cross-platform crash and exception management so you can focus on shipping. Cross-platform callstack and event aggregation and monitoring. Process errors from panics, core dumps, minidumps, and during runtime across your stack with a single system. Backtrace generates structured, searchable error reports from your data. Automated analysis cuts down on time to resolution by surfacing important signals that lead engineers to crash root cause. Never worry about missing a clue with rich integrations into dashboards, notification, and workflow systems. Answer the questions that matter to you with Backtrace’s rich query engine. View a high-level overview of error frequency, prioritization, and trends across all your projects. Search through key data points and your own custom data across all your errors. -
8
DATPROF
DATPROF
DATPROF Test Data Platform is a complete test data management solution that helps software teams create, protect, provision, and automate high-quality test data. The platform combines data masking, synthetic test data generation, data subsetting, test data provisioning, and automation in one integrated solution. DATPROF enables organizations to safely use realistic, production-like data for development, testing, QA, and CI/CD pipelines without exposing sensitive or privacy-related information. It helps companies comply with regulations such as GDPR, PCI, and HIPAA while improving software delivery speed and reducing manual test data work. DATPROF is a software company specialized in test data management. Its mission is to help organizations make test data available faster, safer, and more efficiently, especially in complex enterprise and regulated environments. -
9
Logstash
Elasticsearch
Centralize, transform & stash your data. Logstash is a free and open server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to your favorite "stash." Logstash dynamically ingests, transforms, and ships your data regardless of format or complexity. Derive structure from unstructured data with grok, decipher geo coordinates from IP addresses, anonymize or exclude sensitive fields, and ease overall processing. Data is often scattered or siloed across many systems in many formats. Logstash supports a variety of inputs that pull in events from a multitude of common sources, all at the same time. Easily ingest from your logs, metrics, web applications, data stores, and various AWS services, all in continuous, streaming fashion. -
10
OpenRefine
OpenRefine
OpenRefine (previously Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data. OpenRefine always keeps your data private on your own computer until you want to share or collaborate. Your private data never leaves your computer unless you want it to. (It works by running a small server on your computer and you use your web browser to interact with it). OpenRefine can help you explore large data sets with ease. You can find out more about this functionality by watching the video below. OpenRefine can be used to link and extend your dataset with various webservices. Some services also allow OpenRefine to upload your cleaned data to a central database, such as Wikidata.. A growing list of extensions and plugins is available on the wiki. -
11
Greenplum
Greenplum Database
Greenplum Database® is an advanced, fully featured, open source data warehouse. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes. Greenplum Database® project is released under the Apache 2 license. We want to thank all our current community contributors and are interested in all new potential contributions. For the Greenplum Database community no contribution is too small, we encourage all types of contributions. An open-source massively parallel data platform for analytics, machine learning and AI. Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. Experience the fully featured, integrated, open source analytics platform. -
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Memgraph
Memgraph
Memgraph is a high-performance, in-memory graph database that powers real-time AI context. It serves as the graph engine for GraphRAG pipelines, AI memory systems, and agentic workflows - delivering sub-millisecond multi-hop traversals with full provenance for any system that needs structured, connected context alongside semantic search. The same architecture that makes Memgraph the context layer for AI also drives real-time graph analytics across fraud detection, network analysis, infrastructure monitoring, and other operational use cases where speed and connectivity matter. -
13
Memstate
Memstate
Build high quality, mission critical applications with real-time performance at a fraction of the time and cost. Memstate is a new. Moving data back and forth between disk and RAM is not just extremely inefficient, it requires multiple layers of complex software that can be eliminated entirely. Use Memstate to structure and manage your data in-memory, obtain transparent persistence, concurrency control and transactions with strong ACID guarantees. note: this is too techy... Make your applications 100x faster, and your developers 10x more productive. Memstate has many possible use cases but is designed primarily to handle complex OLTP workloads in a typical enterprise application. In-memory operations are orders of magnitude faster than disk operations. A single Memstate engine can execute millions of read transactions and tens of thousands of write transactions per second, all at submillisecond latency.Starting Price: €200 per GB RAM per server -
14
HyperGraphDB
Kobrix Software
HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for knowledge management, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database, or a (non-SQL) relational database. HyperGraphDB is a storage framework based on generalized hypergraphs as its underlying data model. The unit of storage is a tuple made up of 0 or more other tuples. Each such tuple is called an atom. One could think of the data model as relational where higher-order, n-ary relationships are allowed or as graph-oriented where edges can point to an arbitrary set of nodes and other edges. Each atom has an arbitrary, strongly-typed value associated with it. The type system managing those values is embedded as a hypergraph and customizable from the ground up. -
15
RecallGraph
RecallGraph
RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, letting the user query any past state of the graph just as easily as the present. RecallGraph is a potential fit for scenarios where data is best represented as a network of vertices and edges (i.e., a graph) having the following characteristics: 1. Both vertices and edges can hold properties in the form of attribute/value pairs (equivalent to JSON objects). 2. Documents (vertices/edges) mutate within their lifespan (both in their individual attributes/values and in their relations with each other). 3. Past states of documents are as important as their present, necessitating retention and queryability of their change history. Also see this blog post for an intro - https://blog.recallgraph.tech/never-lose-your-old-data-again. -
16
Trustgrid
Trustgrid
Trustgrid is the SD-WAN for application providers. The Trustgrid platform uniquely addresses the needs of SaaS application providers who rely on remote systems. By combining an SD-WAN 2.0, edge computing, and zero trust remote access into a single platform we allow software providers to manage and support distributed application environments from the cloud to the edge. With the Trustgrid platform you can: • Build cloud to on-premise networks at scale • Manage and support 100s of networks from a single pane of glass • Control on-premise apps and appliances as if they were in the cloud • Run and support Docker containers in any cloud or on-premise • Provide your support teams secure access to edge application environments Simplify connectivity, enhance security, and guarantee network availability with Trustgrid. -
17
CData Connect
CData Software
CData Connect Your organization depends on real-time business and operational data to deliver actionable insights and drive growth. CData Connect is the missing link in your data value chain. CData Connect enables direct connectivity from any application that supports standard database connectivity, including popular cloud BI and ETL applications, such as: - Amazon Glue - Amazon QuickSight - Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud - SAS Cloud - SAS Viya - Tableau Online ... and many more! CData Connect acts like a data gateway, translating SQL, and securely proxying API requests. -
18
Moon Modeler
Ideamerit
Moon Modeler is a powerful and user-friendly data modeling tool tailored for NoSQL databases. It supports MongoDB and Mongoose ODM out of the box, and can also be used with Amazon DocumentDB, Azure Cosmos DB, and similar document-oriented databases. Supported platforms: - MongoDB - Mongoose ODM Key features: - Data modeling and schema design - Reverse engineering from MongoDB - Support for SSH/SSL/TLS connections - Hierarchical structures, embedded documents/nested objects - Generation of interactive HTML reports - Generation of schema validation or creation scripts - Various themes and styles for reports - Multiple display modes - Support for sub-diagramsStarting Price: $99 one-time payment -
19
ThoughtSpot
ThoughtSpot
Now anyone can find insights hidden in their company data in seconds. Use search to analyze your data and get automated insights when you need them. ThoughtSpot lets anyone ask any questions, find insights, and drill infinitely into their company data in seconds. Stop waiting for custom reports from data experts and instantly answer ad-hoc data questions on the fly. Empower non-technical people to answer their own data questions, while you build a single source of truth with security and governance at scale. Maximize the value of your cloud data warehouse and accelerate speed-to-insight for everyone across your business. Democratize access to insights in minutes and transform the way your company uses data. See how the most innovative organizations use ThoughtSpot to get more value from their data. Deploy as SaaS or software in your virtual private cloud. AI-driven insights so you know sooner. -
20
Oracle Big Data Preparation
Oracle
Oracle Big Data Preparation Cloud Service is a managed Platform as a Service (PaaS) cloud-based offering that enables you to rapidly ingest, repair, enrich, and publish large data sets with end-to-end visibility in an interactive environment. You can integrate your data with other Oracle Cloud Services, such as Oracle Business Intelligence Cloud Service, for down-stream analysis. Profile metrics and visualizations are important features of Oracle Big Data Preparation Cloud Service. When a data set is ingested, you have visual access to the profile results and summary of each column that was profiled, and the results of duplicate entity analysis completed on your entire data set. Visualize governance tasks on the service Home page with easily understood runtime metrics, data health reports, and alerts. Keep track of your transforms and ensure that files are processed correctly. See the entire data pipeline, from ingestion to enrichment and publishing. -
21
Fasoo Data Radar
Fasoo
Fasoo Data Radar (FDR) is a data discovery and classification solution that helps organizations locate, analyze, and manage sensitive unstructured data across on-premise servers, cloud storage, and endpoints. It scans and classifies files based on keywords, regex patterns, file formats, and other predefined policies, ensuring organizations maintain control over critical information. With real-time monitoring and centralized policy enforcement, FDR enhances data security by identifying risks, preventing unauthorized access, and assisting with compliance requirements such as GDPR, HIPAA, and CCPA. Its integration with enterprise security frameworks allows organizations to apply consistent data protection policies while improving operation workflows. By automating data classification and governance, FDR increases efficiency and enhances data visibility for security and compliance management. -
22
Actian Data Platform
Actian
Actian Data Platform is a unified data management solution designed to simplify integration, storage, and analytics across hybrid environments. It combines data integration, data warehousing, and analytics capabilities into a single platform. The system enables organizations to connect and manage data from multiple sources using pre-built connectors and APIs. It supports real-time analytics, allowing users to gain insights from fresh data without performance delays. The platform uses advanced columnar storage and vectorized processing to deliver high-speed data performance. It also includes built-in data quality monitoring to ensure accuracy and reliability. Actian Data Platform can be deployed across on-premises, cloud, or hybrid environments for flexibility. By consolidating multiple tools into one system, it helps organizations reduce complexity and improve data-driven decision-making. -
23
Actian Zen
Actian
Actian Zen is an embedded, high-performance, and low-maintenance database management system designed for edge applications, mobile devices, and IoT environments. It offers a seamless integration of SQL and NoSQL data models, providing flexibility for developers working with structured and unstructured data. Actian Zen is known for its small footprint, scalability, and high reliability, making it ideal for resource-constrained environments where consistent performance and minimal administrative overhead are essential. With built-in security features and a self-tuning architecture, it supports real-time data processing and analytics without the need for constant monitoring or maintenance. Actian Zen is widely used in industries like healthcare, retail, and manufacturing, where edge computing and distributed data environments are critical for business operations. -
24
SQL Server Data Tools (SSDT)
Microsoft
SQL Server Data Tools (SSDT) transforms database development by introducing a ubiquitous, declarative model that spans all the phases of database development inside Visual Studio. You can use SSDT Transact-SQL design capabilities to build, debug, maintain, and refactor databases. You can work with a database project, or directly with a connected database instance on or off-premise. Developers can use familiar Visual Studio tools for database development. Tools such as: code navigation, IntelliSense, language support that parallels what is available for C# and Visual Basic, platform-specific validation, debugging, and declarative editing in the Transact-SQL editor. SSDT also provides a visual Table Designer for creating and editing tables in either database projects or connected database instances. While you are working on your database projects in a team-based environment, you can use version control for all the files. -
25
pgAdmin
pgAdmin
pgAdmin is a free software project released under the PostgreSQL/Artistic licence. The software is available in source and binary format from the PostgreSQL mirror network. Because compiling from source requires technical knowledge, we recommend installing binary packages whenever possible. pgAdmin is the most popular and feature rich Open Source administration and development platform for PostgreSQL, the most advanced Open Source database in the world. pgAdmin is a management tool for PostgreSQL and derivative relational databases such as EnterpriseDB's EDB Advanced Server. It may be run either as a web or desktop application. As pgAdmin is a web application, it can only interact with the local filesystem in ways that are allowed by modern web browsers. This limits what is possible for security; essentially files can only be "downloaded" or "uploaded" (through a form). -
26
SQLyog
Webyog
A Powerful MySQL Development and Administration Solution. SQLyog Ultimate enables database developers, administrators, and architects to visually compare, optimize, and document schemas. SQLyog Ultimate includes a power tool to automate and schedule the synchronization of data between two MySQL hosts. Create the job definition file using the interactive wizard. The tool does not require any installation on the MySQL hosts. You can use any host to run the tool. SQLyog Ultimate includes a power tool to interactively synchronize data. Run the tool in attended mode to compare data from source and target before taking action. Using the intuitive display, compare data on source and target for every row to decide whether it should be synchronized in which direction. SQLyog Ultimate includes a power tool to interactively compare and synchronize schema. View the differences between tables, indexes, columns, and routines of two databases. -
27
DBAmp
CData Software
DBAmp is the ultimate Salesforce integration solution for any SQL DBA. With DBAmp, you can easily access all your Salesforce data in real-time using standard SQL. For many organizations, SQL Server plays a critical role in BI and operational reporting. Using DBAmp, you can extend the same SQL Server integrations you’ve built for BI, analytics, and reporting to Salesforce data. - Enable Salesforce BI, analytics, & reporting from any tool through SQL Server - Connect data from internal systems with Salesforce in real-time - Build reports that combine live data across SQL Server and Salesforce to deliver up-to-the-minute insights You can quickly build integrations using T-SQL to perform real-time lookup and load operations. Access Salesforce data in real-time with SQL Select statements or make local copies of Salesforce data into a local SQL database.Starting Price: $2,495/yr -
28
QUALO
Advanced Metrics
QUALO is a scalable, cloud-based software platform that addresses common data output and visualization challenges in behavioral health, community health, and healthcare, providing valuable insights without overwhelming clients, staff, administrators, and funders. The system combines data collection tools with customized evidence-based practice supports, ensuring the right information is collected at the right time. Additionally, it incorporates care coordination features that are specifically catered to meet the needs of human service providers. QUALO was built to integrate with other systems, including electronic health records, as a single point of data entry to augment the inherent data output and visualization limitations EHRs often present. Plus, QUALO’s responsive mobile friendly design ensures the platform can be accessed from any device, streamlining the entire data collection process. -
29
CrateDB
CrateDB
The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source distributed database running queries in milliseconds, whatever the complexity, volume and velocity of data. -
30
Syniti Knowledge Platform
Syniti
For the first time, data characteristics like meaning, usage, lineage, alignment to business outcomes and ownership that are repeatedly lost after every project can be captured and retained as tangible knowledge. These vital characteristics can now be reused downstream to advance strategic business initiatives that are dependent on trusted data. Reuse data to deliver your outcomes faster. Capture and release the latent power in your data. Unlock the potential of data in context of your business. Most of your projects require the same insights and understanding into your data, and it’s likely you are consistently reinventing this information. Syniti can deliver this knowledge at a fraction of the cost and with much greater accuracy. Don’t throw away your knowledge. Unlock and reuse insights and knowledge trapped in your data. Preserve knowledge for your future use and reference.
