Best Data Management Software for Windows - Page 31
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Compare the Top Data Management Software for Windows as of May 2026 - Page 31
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1
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. -
2
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. -
3
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. -
4
Incorta
Incorta
Direct is the shortest path from data to insight. Incorta empowers everyone in your business with a true self-service data experience and breakthrough performance for better decisions and incredible results. What if you could bypass fragile ETL and expensive data warehouses, and deliver data projects in days, instead of weeks or months? Our direct approach to analytics delivers true self-service in the cloud or on-premises with agility and performance. Incorta is used by the world’s largest brands to succeed where other analytics solutions fail. Across multiple industries and lines of business, we boast connectors and pre-built solutions for your enterprise applications and technologies. Game-changing innovation and customer success happen through Incorta’s partners including Microsoft, AWS, eCapital, and Wipro. Explore or join our thriving partner ecosystem. -
5
MPP BI
MPP Insights
A Business Intelligence platform natively running with massively parallel databases for data visualization, operational analytics, tracking and reporting. MPP BI paves information superhighway to your business data. Preparation. All necessary data from all required data sources. Clean, consolidated and ready for your work. A wide range of integration options. Processing. No limits on combination of different data types, processing methods and update frequency. Visualization. Loads of basic data visuals, drilling down, ratings, and other nice things for more comfortable working with data for decision-makers. Collaboration. Interactive presentations, natively embedded analytics on your corporate portal and easy data export. Powerful text analytics to reveal valuable meaning of your text data. On top of our MPP BI platform we’ve built a fast and scalable text analytical engine - MPP NLP. It provides: text filtering and rule-based or machine learning classification.Starting Price: $10 per user, per month -
6
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. -
9
Azure Data Lake
Microsoft
Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed, and do all types of processing and analytics across platforms and languages. It removes the complexities of ingesting and storing all of your data while making it faster to get up and running with batch, streaming, and interactive analytics. Azure Data Lake works with existing IT investments for identity, management, and security for simplified data management and governance. It also integrates seamlessly with operational stores and data warehouses so you can extend current data applications. We’ve drawn on the experience of working with enterprise customers and running some of the largest scale processing and analytics in the world for Microsoft businesses like Office 365, Xbox Live, Azure, Windows, Bing, and Skype. Azure Data Lake solves many of the productivity and scalability challenges that prevent you from maximizing the -
10
Molecula
Molecula
Molecula is an enterprise feature store that simplifies, accelerates, and controls big data access to power machine-scale analytics and AI. Continuously extracting features, reducing the dimensionality of data at the source, and routing real-time feature changes into a central store enables millisecond queries, computation, and feature re-use across formats and locations without copying or moving raw data. The Molecula feature store provides data engineers, data scientists, and application developers a single access point to graduate from reporting and explaining with human-scale data to predicting and prescribing real-time business outcomes with all data. Enterprises spend a lot of money preparing, aggregating, and making numerous copies of their data for every project before they can make decisions with it. Molecula brings an entirely new paradigm for continuous, real-time data analysis to be used for all your mission-critical applications. -
11
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. -
12
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. -
13
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. -
15
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. -
16
TiMi
TIMi
With TIMi, companies can capitalize on their corporate data to develop new ideas and make critical business decisions faster and easier than ever before. The heart of TIMi’s Integrated Platform. TIMi’s ultimate real-time AUTO-ML engine. 3D VR segmentation and visualization. Unlimited self service business Intelligence. TIMi is several orders of magnitude faster than any other solution to do the 2 most important analytical tasks: the handling of datasets (data cleaning, feature engineering, creation of KPIs) and predictive modeling. TIMi is an “ethical solution”: no “lock-in” situation, just excellence. We guarantee you a work in all serenity and without unexpected extra costs. Thanks to an original & unique software infrastructure, TIMi is optimized to offer you the greatest flexibility for the exploration phase and the highest reliability during the production phase. TIMi is the ultimate “playground” that allows your analysts to test the craziest ideas! -
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Microsoft Power Query
Microsoft
Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors. -
18
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. -
19
Inmagic DB/TextWorks
Lucidea
Inmagic DB/TextWorks combines a database management system with powerful search capabilities, and can be customized and managed by non-IT staff to organize information and share knowledge throughout an organization. Inmagic® DB/TextWorks® is a special combination of database and text retrieval software that enables you to build “textbases” (text / multi-media databases) to manage diverse types of information including bibliographic catalogs, documents, images, multimedia, etc. DB/TextWorks runs on Windows Operating systems and can be used on a single PC or in a networked environment. DB/TextWorks texbases can be made web accessible via DB/Text WebPublisher PRO. DB/TextWorks combines a database management system and a text retrieval system. It’s easy to use and does not require any programming. This combination delivers a powerful, flexible system that can be used by non-IT staff to organize information and share knowledge throughout an organization. -
20
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. -
21
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. -
22
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. -
23
Sonic XML Server
Progress Technologies
Sonic XML Server ™ is a set of high-speed processing, storage and query services for XML documents required to manage Sonic ESB operational data. By processing XML messages in native XML format, XML Server is very fast and does not place restrictions on the XML message schema. The advent of Extensible Markup Language (XML), a true hardware and software independent data format, was a revolutionary step forward. Because XML describes information independently of a specific system or application data formatting rules, XML is a key technology for supporting flexible exchange of heterogeneous data. However, this flexibility can take a lot of time and resources to process the XML format. Sonic XML Server provides fast processing of operational data and storage of XML messages required to efficiently implement a service-oriented architecture. Sonic XML Server extends and enhances Sonic ESB's XML message processing model by providing native query, storage and processing services. -
24
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. -
25
Q-Bot
bi3 Technologies
Qbot is an Automated test engine, purpose build for data quality. It enabling large, complex data platform but environment & ETL or Database technology agnostic. It can be used for ETL Testing, ETL platform upgrades, Database Upgrades, Cloud migration or Big Data migration Qbot deliver trusted quality data at the speed you never seen before. One of the most comprehensive Data quality automation engines built with: data security, scalability, speed and most extensive test library. Here the user can directly pass the SQL Query while configuring the test group. We currently support the below database servers for source and target database tables. -
26
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. -
27
Salesforce Data Loader
Salesforce
Data Loader is a client application for the bulk import or export of data. Use it to insert, update, delete, or export Salesforce records. When importing data, Data Loader reads, extracts, and loads data from comma-separated values (CSV) files or from a database connection. When exporting data, it outputs CSV files. User interface—When you use the user interface, you work interactively to specify the configuration parameters, CSV files used for import and export, and the field mappings that map the field names in your import file with the field names in Salesforce. Drag-and-drop field mapping. Support for all objects, including custom objects. -
28
Doble Test Data Management
Doble Engineering Company
Standardizing testing and data management processes across a division or company can be a complex and time-consuming project. Many organizations will perform data quality assurance reviews when beginning a field force automation or enterprise asset management initiative in order to ensure data integrity and support the successful roll-outs of large-scale projects. Doble has developed a number of data-focused solutions to help eliminate manual and redundant work processes allowing you to standardize the collection, storage and organization of your asset test data. As necessary, Doble can provide clients high-level, data governance project management supervisory services to reinforce good data management practices. Connect with your Doble Representative for self-help guides and additional training. Doble Database supports good data management governance by capturing data and backing up files on network in logical folder structure. -
29
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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Quantexa
Quantexa
Uncover hidden risk and reveal new, unexpected opportunities with graph analytics across the customer lifecycle. Standard MDM solutions are not built for high volumes of distributed, disparate data, that is generated by various applications and external sources. Traditional MDM probabilistic matching doesn’t work well with siloed data sources. It misses connections, losing context, leads to decision-making inaccuracy, and leaves business value on the table. An ineffective MDM solution affects everything from customer experience to operational performance. Without on-demand visibility of holistic payment patterns, trends and risk, your team can’t make the right decisions quickly, compliance costs escalate, and you can’t increase coverage fast enough. Your data isn’t connected – so customers suffer fragmented experiences across channels, business lines and geographies. Attempts at personalized engagement fall short as these are based on partial, often outdated data.
