Best Data Management Software for Linux - Page 16
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Compare the Top Data Management Software for Linux as of September 2026 - Page 16
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Hitachi Universal Replicator
Hitachi Vantara
Hitachi Universal Replicator satisfies the most demanding business continuity and disaster recovery requirements. This software asynchronously replicates data between Hitachi storage systems, over any distance. Avoid disruptions to your data and your business with high-performance synchronous and asynchronous replication. Read this datasheet to explore how Hitachi TrueCopy remote replication software ensures business continuity and disaster recovery with synchronous replication and data protection, and improves productivity for both business and IT processes. For ever yday uptime and rapid recover y demands in the event of an outage, choose Hitachi TrueCopy remote replication software. TrueCopy synchronously mirrors data between Hitachi storage systems across metropolitan distances. Hitachi TrueCopy remote replication software can be integrated with Hitachi ShadowImage replication software to enable robust business continuity solu-tions. -
2
Oracle GoldenGate
Oracle
Oracle GoldenGate is a comprehensive software package for real-time data integration and replication in heterogeneous IT environments. The product set enables high availability solutions, real-time data integration, transactional change data capture, data replication, transformations, and verification between operational and analytical enterprise systems. Oracle GoldenGate 19c brings extreme performance with simplified configuration and management, tighter integration with Oracle Database, support for cloud environments, expanded heterogeneity, and enhanced security. In addition to the Oracle GoldenGate core platform for real-time data movement, Oracle provides the Management Pack for Oracle GoldenGate—a visual management and monitoring solution for Oracle GoldenGate deployments—as well as Oracle GoldenGate Veridata, which allows high-speed, high-volume comparison between two in-use databases. -
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Syniti Data Replication
Syniti
Syniti Data Replication (formerly DBMoto) software makes it easy to implement heterogeneous Data Replication, Change Data Capture, and Data Transformation capabilities — without the need for consulting services. Deploy and run powerful data replication features through an easy to use GUI and wizard-based screens — no stored procedures to develop, no proprietary syntax to learn, and no programming on the source or target database platforms. Accelerate data ingestion from multiple database systems and seamlessly move it to your preferred cloud solution (Google, AWS, Microsoft Azure, SAP Cloud, and more) without impacting your on-premises operations. Source- and target-agnostic software can replicate all selected data as a snapshot to streamline your data migration. Available as a stand-alone solution, a cloud-based offering from Amazon Web Services (AWS) Marketplace, or included in your Syniti Knowledge Platform subscription, SDR can tackle your most important integrations. -
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FairCom DB
FairCom Corporation
FairCom DB is ideal for large-scale, mission-critical, core-business applications that require performance, reliability and scalability that cannot be achieved by other databases. FairCom DB delivers predictable high-velocity transactions and massively parallel big data analytics. It empowers developers with NoSQL APIs for processing binary data at machine speed and ANSI SQL for easy queries and analytics over the same binary data. Among the companies that take advantage of the flexibility of FairCom DB is Verizon, who recently chose FairCom DB as an in-memory database for its Verizon Intelligent Network Control Platform Transaction Server Migration. FairCom DB is an advanced database engine that gives you a Continuum of Control to achieve unprecedented performance with the lowest total cost of ownership (TCO). You do not conform to FairCom DB…FairCom DB conforms to you. With FairCom DB, you are not forced to conform your needs to meet the limitations of the database. -
5
Embiot
Telchemy
Embiot® is a compact, high performance IoT analytics software agent for IoT gateway and smart sensor applications. This edge computing application is small enough to integrate directly into devices, smart sensors and gateways, but powerful enough to calculate complex analytics from large amounts of raw data at high speed. Internally, Embiot uses a stream processing model to enable it to handle sensor data that arrives at different rates and out of order. It has a simple intuitive configuration language and a rich set of math, stats and AI functions making it fast and easy to solve your analytics problems. Embiot supports a range of input methods including MODBUS, MQTT, REST/XML, REST/JSON, Name/Value and CSV. Embiot is able to send output reports to multiple destinations concurrently in REST, MQTT and custom text formats. For security, Embiot supports TLS selectively on any input or output stream, HTTP and MQTT authentication. -
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SAP Asset Information Workbench
Utopia Global, Inc.
SAP AIW is an enterprise data governance platform for monitoring, tracking, and managing structured and unstructured asset data among multiple systems-of-record (ERP, engineering, PLM, and maintenance systems). Improve your master data governance productivity by making complex multi-object change requests or large-scale master data changes in one simple step. Provide consistent, synchronized data from all systems of records, accessible from one view, to mitigate environmental and health and safety risks. Track and monitor your maintenance work with uniform master data, which shrinks downtime and improves shop-floor productivity. Use an advanced user interface for multi-change object requests to efficiently handle a complete asset structure. Access external and internal sources of information to enrich asset data that can be propagated to internal systems of record. Improve usability with intuitive hierarchy processing, including search, copy, and replace. -
7
Insite Analytics
Fortra
IT can set up data sources quickly and easily, right from the interface... then get back to their own projects while the business user takes over. See data from all sources in a graph, chart, or table on a single dashboard, all updating in real time. Make informed business decisions based on the most current intelligence in an easily digestible, widely accessible format. To make informed decisions for your business, you need timely, accurate, clear data at your fingertips. Requesting reports through your IT department and combining them manually to draw conclusions is time-consuming and often ineffective. Insite Analytics allows IT to build queries in minutes from any data source. Data from queries can be visualized on the business user's dashboard in whatever way best represents the data. -
8
Gilhari
Software Tree
We’re thrilled to announce that Software Tree has won a 2021 DEVIES Award in the code frameworks/libraries category for its innovative Gilhari microservice framework. Gilhari makes it easy for developers to quickly develop high-performance, database-agnostic, and Docker-compatible RESTful applications that need to interact with JSON data in cloud or on-premises. The object-oriented world and the relational world are conceptually different. Manually writing the verbose mapping logic to bridge the gap between the object-oriented and relational artifacts is tedious and time-consuming. Software Tree’s ORM technology frameworks are lightweight in their design and implementation and provide a lightweight feel in their usage. The lightweight aspects of our ORM technology do not compromise on its power and functionality, though. This results in faster development and deployment of modern applications that require flexible object-oriented access to relational data. -
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ArcServe Live Migration
ArcServe
Migrate data, applications and workloads to the cloud without downtime. Arcserve Live Migration was designed to eliminate disruption during your cloud transformation. Easily move data, applications and workloads to the cloud or target destination of your choice while keeping your business fully up and running. Remove complexity by orchestrating the cutover to the target destination. Manage the entire cloud migration process from a centralconsole. Arcserve Live Migration simplifies the process of migrating data, applications and workloads. Its highly flexible architecture enables you to move virtually any type of data or workload to cloud, on-premises or remote locations, such as the edge, with support for virtual, cloud and physical systems. Arcserve Live Migration automatically synchronizes files, databases, and applications on Windows and Linux systems with a second physical or virtual environment located on-premises, at a remote location, or in the cloud. -
10
Life.io Engage
Life.io
Life.ioEngage™ replaces tired customer transactions by creating meaningful and ongoing customer interactions. At each stage of the customer relationship, we educate, engage, reward, and delight your customers. These thoughtful interactions reveal important data and insights that help you move the needle on your most important metrics: Conversion, lead generation, placement, wallet share generation, persistency, NPS. Available as a desktop or mobile app, the Engage platform can stand on its own or seamlessly integrate with Life.ioGrow™ and Life.ioEmpower™ as well as your existing technology. Successful engagement revolves around offering real value to the user. Built around the framework of holistic well-being, Engage: Offers classes, real-life stories, and short articles on personal finance, health, fitness and emotional well-being, encourages positive change through dynamic, original content, fun programs, and quizzes. -
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Symas LMDB
Symas Corporation
Symas LMDB is an extraordinarily fast, memory-efficient database we developed for the OpenLDAP Project. With memory-mapped files, it has the read performance of a pure in-memory database while retaining the persistence of standard disk-based databases. Bottom line, with only 32KB of object code, LMDB may seem tiny. But it’s the right 32KB. Compact and efficient are two sides of a coin; that’s part of what makes LMDB so powerful. Symas offers fixed-price commercial support to those using LMDB in your applications. Development occurs in the OpenLDAP Project‘s git repo in the mdb.master branch. Symas LMDB has been written about, talked about, and utilized in a variety of impressive products and publications. -
12
Alibaba Cloud TSDB
Alibaba
Time Series Database (TSDB) supports high-speed data reading and writing. It offers high compression ratios for cost-efficient data storage. This service also supports visualization of precision reduction, interpolation, multi-metric aggregate computing, and query results. The TSDB service reduces storage costs and improves the efficiency of data writing, query, and analysis. This enables you to handle large amounts of data points and collect data more frequently. This service has been widely applied to systems in different industries, such as IoT monitoring systems, enterprise energy management systems (EMSs), production security monitoring systems, and power supply monitoring systems. Optimizes database architectures and algorithms. TSDB can read or write millions of data points within seconds. Applies an efficient compression algorithm to reduce the size of each data point to 2 bytes, saving more than 90% in storage costs. -
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JanusGraph
JanusGraph
JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a project under The Linux Foundation, and includes participants from Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon. Elastic and linear scalability for a growing data and user base. Data distribution and replication for performance and fault tolerance. Multi-datacenter high availability and hot backups. All functionality is totally free. No need to buy commercial licenses. JanusGraph is fully open source under the Apache 2 license. JanusGraph is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. Support for ACID and eventual consistency. In addition to online transactional processing (OLTP), JanusGraph supports global graph analytics (OLAP) with its Apache Spark integration. -
14
Nebula Graph
vesoft
The graph database built for super large-scale graphs with milliseconds of latency. We are continuing to collaborate with the community to prepare, popularize and promote the graph database. Nebula Graph only allows authenticated access via role-based access control. Nebula Graph supports multiple storage engine types and the query language can be extended to support new algorithms. Nebula Graph provides low latency read and write , while still maintaining high throughput to simplify the most complex data sets. With a shared-nothing distributed architecture , Nebula Graph offers linear scalability. Nebula Graph's SQL-like query language is easy to understand and powerful enough to meet complex business needs. With horizontal scalability and a snapshot feature, Nebula Graph guarantees high availability even in case of failures. Large Internet companies like JD, Meituan, and Xiaohongshu have deployed Nebula Graph in production environments. -
15
Cayley
Cayley
Cayley is an open-source database for Linked Data. It is inspired by the graph database behind Google's Knowledge Graph (formerly Freebase). Cayley is an open-source graph database designed for ease of use and storing complex data. Built-in query editor, visualizer and REPL. Cayley can use multiple query languages like Gizmo, a query language inspired by Gremlin, GraphQL-inspired query language, MQL a simplified version for Freebase fans. Cayley is modular, easy to connect to your favorite programming languages and back-end stores, production ready, well tested and used by various companies for their production workloads and fast with optimized specifically for usage in applications. Rough performance testing shows that, on 2014 consumer hardware and an average disk, 134m quads in LevelDB is no problem and a multi-hop intersection query- films starring X and Y - takes ~150ms. Cayley is configured by default to run in memory (That's what backend memstore means). -
16
Sparksee
Sparsity Technologies
Sparksee (formerly known as DEX), makes space and performance compatible with a small footprint and a fast analysis of large networks. It is natively available for .Net, C++, Python, Objective-C and Java, and covers the whole spectrum of Operating Systems. The graph is represented through bitmap data structures that allow high compression rates. Each of the bitmaps is partitioned into chunks that fit into disk pages to improve I/O locality. Using bitmaps, operations are computed with binary logic instructions that simplify the execution in pipelined processors. Full native indexing allows an extremely fast access to each of the graph data structures. Node adjacencies are represented by bitmaps to minimize their footprint. The number of times each data page is brought to memory is minimized with advanced I/O policies. Each value in the database is represented only once, avoiding unnecessary replication. -
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DataPreparator
DataPreparator
DataPreparator is a free software tool designed to assist with common tasks of data preparation (or data preprocessing) in data analysis and data mining. DataPreparator can assist you with exploring and preparing data in various ways prior to data analysis or data mining. It includes operators for cleaning, discretization, numeration, scaling, attribute selection, missing values, outliers, statistics, visualization, balancing, sampling, row selection, and several other tasks. Data access from text files, relational databases, and Excel workbooks. Handling of large volumes of data (since data sets are not stored in the computer memory, with the exception of Excel workbooks and result sets of some databases where database drivers do not support data streaming). Stand alone tool, independent of any other tools. User friendly graphical user interface. Operator chaining to create sequences of preprocessing transformations (operator tree). Creating of model tree for test/execution data. -
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Dqlite
Canonical
Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. C-Raft is tuned to minimize transaction latency. C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. Minimal, tunable delay for failover with automatic leader election. Disk-backed database with in-memory options and SQLite transactions. -
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MySQL Workbench
Oracle
MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. MySQL Workbench provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, backup, and much more. MySQL Workbench is available on Windows, Linux and Mac OS X. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. The Database Connections Panel enables developers to easily manage standard database connections. -
20
jBASE
jBASE
The future of your PICK system requires a database platform that continually evolves to meet the needs of today’s developers. jBASE is now officially certified for Docker containers, including built-in support for the MongoDB NoSQL database, and standard APIs for Salesforce, Avalara, and dozens of other platforms. Plus new enhancements to Objects that make life easier for developers. We are continuing to invest in jBASE because we believe in PICK! While others see a decline, we’ve seen 6 years of consecutive growth. We care about your long-term success and haven’t had a maintenance price increase in decades. We play well with others by collaborating and making jBASE integrate with modern technologies like VSCode, Mongo, Docker, and Salesforce. The migration routes from other PICK databases have been vastly simplified, licensing now supports flexible CPU and SaaS-based models, and our in-line operating system approach means our scalability, speed and stability are unmatched. -
21
Sedna
Sedna
Sedna is a free native XML database which provides a full range of core database services - persistent storage, ACID transactions, security, indices, hot backup. Flexible XML processing facilities include W3C XQuery implementation, tight integration of XQuery with full-text search facilities and a node-level update language. It provides a number of easy exampes which can be run directly in command line and describes how to run examples provided with Sedna. Sedna distribution comes with an example set based on the XMark XML benchmark. This set allows you to investigate the features of Sedna easily. Examples include bulk load of a sample XML document and a number of sample XQuery queries and updates to this document. Below we will show how to run one of them. -
22
LevelDB
Google
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. Keys and values are arbitrary byte arrays. Data is stored sorted by key. Callers can provide a custom comparison function to override the sort order. Multiple changes can be made in one atomic batch. Users can create a transient snapshot to get a consistent view of data. Forward and backward iteration is supported over the data. Data is automatically compressed using the Snappy compression library. External activity (file system operations etc.) is relayed through a virtual interface so users can customize the operating system interactions. We use a database with a million entries. Each entry has a 16 byte key, and a 100 byte value. Values used by the benchmark compress to about half their original size. We list the performance of reading sequentially in both the forward and reverse direction, and also the performance of a random lookup. -
23
rsync
rsync
rsync is an open source utility that provides fast incremental file transfer. rsync is freely available under the GNU General Public License. The GPG signing key that is used to sign the release files is available from the public pgp key-server network. If you have automatic key-fetching enabled, just running a normal "gpg --verify" will grab my key automatically. Or, feel free to grab the gpp key for Wayne Davison manually. rsync is a file transfer program for Unix systems. rsync uses the "rsync algorithm" which provides a very fast method for bringing remote files into sync. It does this by sending just the differences in the files across the link, without requiring that both sets of files are present at one of the ends of the link beforehand. Optionally preserves symbolic links, hard links, file ownership, permissions, devices and times. Internal pipelining reduces latency for multiple files. -
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PoINT Data Replicator
PoINT Software & Systems
Today, organizations are typically storing unstructured data in file systems and increasingly in object and cloud storage. Cloud and object storage have numerous advantages, particularly with regard to inactive data. This leads to the requirement to migrate or replicate files (e.g. from legacy NAS) to cloud or object storage. More and more data is stored in cloud and object storage. This has created an underestimated security risk. In most cases, data stored in the cloud or in on-premises object storage is not backed up, as it is believed to be secure. This assumption is negligent and risky. High availability and redundancy as offered by cloud services and object storage products do not protect against human error, ransomware, malware, or technology failure. Thus, also cloud and object data need backup or replication, most appropriately on a separate storage technology, at a different location and in the original format as stored in the cloud and object storage. -
25
IBM ProtecTIER
IBM
ProtecTIER® is a disk-based data storage system. It uses data deduplication technology to store data to disk arrays. With Feature Code 9022, the ProtecTIER Virtual Tape Library (VTL) service emulates traditional automated tape libraries. With Feature Code 9024, a stand-alone TS7650G can be configured as FSI. Several software applications run on various TS7650G components and configurations. The ProtecTIER Manager workstation is a customer-supplied workstation that runs the ProtecTIER Manager software. The ProtecTIER Manager software provides the management GUI interface to the TS7650G. The ProtecTIER VTL service emulates traditional tape libraries. By emulating tape libraries, ProtecTIER VTL provides the capability to transition to disk backup without having to replace your entire backup environment. Your existing backup application can access virtual robots to move virtual cartridges between virtual slots and drives. -
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Apache Kudu
The Apache Software Foundation
A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use. -
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Apache Parquet
The Apache Software Foundation
We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. We believe this approach is superior to simple flattening of nested namespaces. Parquet is built to support very efficient compression and encoding schemes. Multiple projects have demonstrated the performance impact of applying the right compression and encoding scheme to the data. Parquet allows compression schemes to be specified on a per-column level, and is future-proofed to allow adding more encodings as they are invented and implemented. Parquet is built to be used by anyone. The Hadoop ecosystem is rich with data processing frameworks, and we are not interested in playing favorites. -
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Hypertable
Hypertable
Hypertable delivers scalable database capacity at maximum performance to speed up your big data application and reduce your hardware footprint. Hypertable delivers maximum efficiency and superior performance over the competition which translates into major cost savings. A proven scalable design that powers hundreds of Google services. All the benefits of open source with a strong and thriving community. C++ implementation for optimum performance. 24/7/365 support for your business-critical big data application. Unparalleled access to Hypertable brain power by the employer of all core Hypertable developers. Hypertable was designed for the express purpose of solving the scalability problem, a problem that is not handled well by a traditional RDBMS. Hypertable is based on a design developed by Google to meet their scalability requirements and solves the scale problem better than any of the other NoSQL solutions out there. -
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InfiniDB
Database of Databases
InfiniDB is a column-store DBMS optimized for OLAP workloads. It has a distributed architecture to support Massive Paralllel Processing (MPP). It uses MySQL as its front-end such that users familiar with MySQL can quickly migrate to InfiniDB. Due to this fact, users can connect to InfiniDB using any MySQL connector. InfiniDB applies MVCC to do concurrency control. It uses term System Change Number (SCN) to indicate a version of the system. In its Block Resolution Manager (BRM), it utilizes three structures, version buffer, version substitution structure, and version buffer block manager, to manage multiple versions. InfiniDB applies deadlock detection to resolve conflicts. InfiniDB uses MySQL as its front-end and supports all MySQL syntaxes, including foreign keys. InfiniDB is a columnar DBMS. For each column, InfiniDB applies range partitioning and stores the minimum and maximum value of each partition in a small structure called extent map. -
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qikkDB
qikkDB
QikkDB is a GPU accelerated columnar database, delivering stellar performance for complex polygon operations and big data analytics. When you count your data in billions and want to see real-time results you need qikkDB. We support Windows and Linux operating systems. We use Google Tests as the testing framework. There are hundreds of unit tests and tens of integration tests in the project. For development on Windows, Microsoft Visual Studio 2019 is recommended, and its dependencies are CUDA version 10.2 minimal, CMake 3.15 or newer, vcpkg, boost. For development on Linux, the dependencies are CUDA version 10.2 minimal, CMake 3.15 or newer, and boost. This project is licensed under the Apache License, Version 2.0. You can use an installation script or dockerfile to install qikkDB.
