Best Data Management Software - Page 94
View:
Compare the Top Data Management Software as of February 2026 - Page 94
Sort By:
-
1
Zetaris
Zetaris
Rather than uploading the data to a central place to analyze it, Zetaris enables instant analytics across all your data, now. This means you can connect multiple databases and analyze them together in real-time, without the time and cost (and fail rate) associated with moving the data to a central location. Our unique analytical query optimizer ensures speed and scalability for whatever query is being run, across any combination of data sources. Ensure data governance and security by not moving data, and analyzing it at its source. Don't move the data. No data extraction, no data transformation, no copying of data to another repository. Remove unnecessary storage, processing and support costs, thanks to zero data duplication. -
2
StreamScape
StreamScape
Make use of Reactive Programming on the back-end without the need for specialized languages or cumbersome frameworks. Triggers, Actors and Event Collections make it easy to build data pipelines and work with data streams using simple SQL-like syntax, shielding users from the complexities of distributed system development. Extensible Data Modeling is a key feature that supports rich semantics and schema definition for representing real-world things. On-the-fly validation and data shaping rules support a variey of formats like XML and JSON, allowing you to easily describe and evolve your schema, keeping pace with changing business requirements. If you can describe it, we can query it. Know SQL and Javascript? Then you already know how to use the data engine. Whatever the format, a powerful query language lets you instantly test logic expressions and functions, speeding up development and simplifying deployment for unmatched data agility. -
3
Teradata QueryGrid
Teradata
Deploying multiple analytic engines means best-fit engineering, so QueryGrid lets users leverage the right tool for the job. SQL is the language of business, and QueryGrid delivers unparalleled SQL access across commercial and open source analytical engines. Built for a hybrid multi-cloud reality, Vantage solves the world’s most complex data challenges at scale. Software that delivers autonomy, visibility, and insights to keep pace with changing customer demand. -
4
CluedIn
CluedIn
CluedIn has the quickest implementation time of any master data management platform on the market. CluedIn has transformed traditional MDM into an augmented experience. Less manual work. Better results. This is simply impossible with traditional MDM. CluedIn has revolutionized a new type of MDM with no restrictions. CluedIn has been designed to remove the standard complexities with traditional MDM. CluedIn is a cloud-native Master Data Management platform that was built to run at low cost. Enterprise software that has the onboarding simplicity of buying a SAAS platform. Whereas traditional MDM vendors will ask you to stitch together different products into an end to end story, we have stitched together the common pillars of master data management for you. We took a knife to traditional master data management and came out the other side with techniques that automate the hardest parts of the process and render traditional approaches as obsolete.Starting Price: $28,500 per year -
5
Fraxses
Intenda
There are many products on the market that can help companies to do this, but if your priorities are to create a data-driven enterprise and to be as efficient and cost-effective as possible, then there is only one solution you should consider: Fraxses, the world’s foremost distributed data platform. Fraxses provides customers with access to data on demand, delivering powerful insights via a solution that enables a data mesh or data fabric architecture. Think of a data mesh as a structure that can be laid over disparate data sources, connecting them, and enabling them to function as a single environment. Unlike other data integration and virtualization platforms, the Fraxses data platform has a decentralized architecture. While Fraxses fully supports traditional data integration processes, the future lies in a new approach, whereby data is served directly to users without the need for a centrally owned data lake or platform. -
6
Infinidat Elastic Data Fabric
Infinidat
The consumer datasphere’s huge growth over the past decade is now being overshadowed by exponential growth rates in business data. This presents unprecedented opportunities and challenges for enterprises and cloud service providers, requiring a fundamentally new approach to building and scaling storage infrastructure. Infinidat Elastic Data Fabric is our vision for the evolution of enterprise storage from traditional hardware appliances into elastic data center-scale pools of high-performance, highly reliable, low-cost digital storage with seamless data mobility within the data center and the public cloud. Today, enterprise technologists in every industry are facing a similar dilemma, thanks to the tsunami of digital transformation. Traditional hardware-based storage arrays are expensive, hard to manage, and orders of magnitude too small for the coming data age. They must, therefore, evolve into something new: softwaredefined on-premises enterprise storage clouds. -
7
Doc.Mobility
Doc.Series
Access your documents in comfort, anywhere and without wasting time, thanks to the Doc.Mobility solution. No matter where you are, you can easily find and view documents on screen. Doc.Mobility allows you to connect from a mobile device (tablet or smartphone) in order to access the electronic document management application to consult information, access your tasks and produce documents. This module allows you to work comfortably while roaming. All these functions are carried out in compliance with the security policies of the companies. The use of a protocol encrypting data during the connection between your electronic document management system and your tablet or smartphone ensures secure transmission of data and documents. With Doc.Mobility, you use all the user-friendly functions and ergonomics of the interface of your tablet or smartphone. You browse, select actions with your fingertips, you zoom with your thumb and forefinger as you are used to on your mobile devices. -
8
Oracle TimesTen
Oracle
Oracle TimesTen In-Memory Database (TimesTen) delivers real time application performance (low response time and high throughput) by changing the assumptions around where data resides at runtime. By managing data in memory, and optimizing data structures and access algorithms accordingly, database operations execute with maximum efficiency achieving dramatic gains in responsiveness and throughput. With the introduction of TimesTen Scaleout, a shared nothing scale-out architecture based on the existing in-memory technology, TimesTen allows databases to transparently scale across dozens of hosts, reach hundreds of terabytes in size and support hundreds of millions of transactions per second without the need for manual database sharding or workload partitioning. -
9
Apache Geode
Apache
Build high-speed, data-intensive applications that elastically meet performance requirements at any scale. Take advantage of Apache Geode's unique technology that blends advanced techniques for data replication, partitioning and distributed processing. Apache Geode provides a database-like consistency model, reliable transaction processing and a shared-nothing architecture to maintain very low latency performance with high concurrency processing. Data can easily be partitioned (sharded) or replicated between nodes allowing performance to scale as needed. Durability is ensured through redundant in-memory copies and disk-based persistence. Super fast write-ahead-logging (WAL) persistence with a shared-nothing architecture that is optimized for fast parallel recovery of nodes or an entire cluster. -
10
Ehcache
Terracotta
Ehcache is an open source, standards-based cache that boosts performance, offloads your database, and simplifies scalability. It's the most widely-used Java-based cache because it's robust, proven, full-featured, and integrates with other popular libraries and frameworks. Ehcache scales from in-process caching, all the way to mixed in-process/out-of-process deployments with terabyte-sized caches. Terracotta actively develops, maintains, and supports Ehcache as a professional open source project available under an Apache 2.0 license. Contributors are welcome to join our community. -
11
Apache Superset
Apache
Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. Superset can connect to any SQL based datasource through SQLAlchemy, including modern cloud native databases and engines at petabyte scale. Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. -
12
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. -
13
Mnesia
Erlang
The management of data in telecommunications systems has many aspects of which some, but not all, are addressed by traditional Database Management Systems (DBMSs). In particular, the high level of fault tolerance required in many nonstop systems, combined with requirements on the DBMS to run in the same address space as the applications, have led us to implement a new DBMS, called Mnesia. Mnesia is implemented in, and tightly coupled to Erlang. It provides the functionality that is necessary for the implementation of fault-tolerant telecommunications systems. Mnesia is a multiuser distributed DBMS specifically designed for industrial-grade telecommunications applications written in Erlang, which is also the intended target language. Mnesia tries to address all the data management issues required for typical telecommunications systems and has a number of features not normally found in traditional DBMSs. -
14
upscaledb
upscaledb
upscaledb is a fast key-value database which optimizes storage and algorithms for your specific data types. Optional compression further reduces file size and I/O, and can keep more data in memory to increase performance and scalability when running full-table scans to query and analyze the data. upscaledb can be used to build all functions of a typical SQL database, tailored to the specific needs of your application, and directly linked into your program. Its blazingly fast analytical functions and database cursors make it a natural fit to process data whenever a SQL database is not fast enough. Applications using upscaledb are deployed on tens of millions of desktops, but also on cloud instances, cell phones and other embedded devices. This benchmark runs a full-table scan over 50 million records and retrieves the maximum. The records are configured as uint32 values. -
15
FoundationDB
FoundationDB
FoundationDB is multi-model, meaning you can store many types data in a single database. All data is safely stored, distributed, and replicated in the Key-Value Store component. FoundationDB is easy to install, grow, and manage. It has a distributed architecture that gracefully scales out, and handles faults while acting like a single ACID database. FoundationDB provides amazing performance on commodity hardware, allowing you to support very heavy loads at low cost. FoundationDB has been running in production for years and been hardened with lessons learned. Backing FoundationDB up is an unmatched testing system based on a deterministic simulation engine. We encourage your participation in our open-source community! Join us in technical and user discussions on the community forums, and learn how to contribute. -
16
Azure Table Storage
Microsoft
Use Azure Table storage to store petabytes of semi-structured data and keep costs down. Unlike many data stores—on-premises or cloud-based—Table storage lets you scale up without having to manually shard your dataset. Availability also isn’t a concern: using geo-redundant storage, stored data is replicated three times within a region—and an additional three times in another region, hundreds of miles away. Table storage is excellent for flexible datasets—web app user data, address books, device information, and other metadata—and lets you build cloud applications without locking down the data model to particular schemas. Because different rows in the same table can have a different structure—for example, order information in one row, and customer information in another—you can evolve your application and table schema without taking it offline. Table storage embraces a strong consistency model. -
17
VMware Tanzu GemFire
Broadcom
VMware Tanzu GemFire is a distributed, in-memory, key-value store that performs read and write operations at blazingly fast speeds. It offers highly available parallel message queues, continuous availability, and an event-driven architecture you can scale dynamically, with no downtime. As your data size requirements increase to support high-performance, real-time apps, Tanzu GemFire can scale linearly with ease. Traditional databases are often too brittle or unreliable for use with microservices. That’s why every modern distributed architecture needs a cache! With Tanzu GemFire, applications get low-latency responses to data access requests, and always return fresh data. Your applications can subscribe to real-time events to react to changes immediately. Tanzu GemFire’s continuous queries notify your application when new data is available, which reduces the overhead on your SQL database. -
18
Apache Accumulo
Apache Corporation
With Apache Accumulo, users can store and manage large data sets across a cluster. Accumulo uses Apache Hadoop's HDFS to store its data and Apache ZooKeeper for consensus. While many users interact directly with Accumulo, several open source projects use Accumulo as their underlying store. To learn more about Accumulo, take the Accumulo tour, read the user manual and run the Accumulo example code. Feel free to contact us if you have any questions. Accumulo has a programming mechanism (called Iterators) that can modify key/value pairs at various points in the data management process. Every Accumulo key/value pair has its own security label which limits query results based off user authorizations. Accumulo runs on a cluster using one or more HDFS instances. Nodes can be added or removed as the amount of data stored in Accumulo changes. -
19
KeyDB
KeyDB
KeyDB maintains full compatibility with Redis modules, API and protocol. Seamlessly drop in KeyDB and maintain full compatibility with your existing clients, scripts and configurations. Multi-Master mode uses a single replicated dataset across many nodes to serve both read and write operations Nodes can be replicated cross-region to offer submillisecond latencies to local clients. Cluster mode allows unlimited read and write scaling by splitting the dataset across shards. This allows unlimited scaling, and also support high availability through replica nodes. KeyDB offers new community driven commands that enable you to do more with your data. Add your own commands and functionality using JavaScript with the ModJS module. ModJS lets you write functions in javascript that can in turn be called directly by KeyBD. The example to the left shows and example of a javascript function that would be loaded with the module. It can then be called directly from your client. -
20
LedisDB
LedisDB
Ledisdb is a high-performance NoSQL database library and server written in Go. It's similar to Redis but store data in disk. It supports many data structures including kv, list, hash, zset, set. LedisDB now supports multiple different databases as backends. -
21
Build a blueprint of your current enterprise architecture and visualize the impact of change before it happens with SAP PowerDesigner software. With capabilities such as data modeling, link and sync, and metadata management, you can immediately capture architecture layers and requirements, tap into a powerful metadata repository, and share discoveries with your team. Create tight connections between your company’s unique requirements, language, and data models by using link-and-sync technology. Help developers and enterprise architects exchange information through a secure metadata repository that supports all modeling types. Simplify the lives of your users and IT staff with a flexible, wizard-driven system for documentation and Web-based reporting.
-
22
PartnerLinQ
PartnerLinQ
PartnerLinQ is a cloud-native supply chain visibility platform that delivers resilience through simplifying visibility and connectivity. PartnerLinQ’s Platform with Native Applications adds business context to traditional integrations, minimizing the impact of disruption. With capabilities for intelligent hyper-automation, multi-channel integration, and real-time analytics, PartnerLinQ seamlessly connects multi-tier supply chain networks, channels, marketplaces, and core systems worldwide to deliver unified connectivity for the future. PartnerLinQ’s Platform with Native Applications enables EDI, Non-EDI, and API-led enterprise wide integration capabilities, while enhancing visibility across the partner network through in-depth, analytics-based insights. The PartnerLinQ platform provides businesses a highly configurable and flexible approach with an easy to use interface, that eases partner onboarding, provides built-in alerts with a control center view of the enterprise network tran -
23
exorbyte
exorbyte
Growing amounts of data, digital transformation and increasing compliance requirements call for intelligent technologies for the efficient use of all existing data. exorbyte offers you tailor-made Search & Match solutions that make all data available to humans and machines at lightning speed. Regardless of the structure, language, format and quality of the data. The master data search enables comprehensive, fuzzy searches in real time and millions of data records with just one search field. Error-tolerant, flexible across all fields, fully adjustable. The master data comparison offers the possibility of comparing whole or parts of data records with the master data. Without restrictions, regardless of errors, across databases. The master data recognition extracts identities from documents, letters or faxes and compares them with reference data. Fuzzy data matching and intelligent data extraction. -
24
Pontus Vision
Pontus Vision
We extract personal data through hundreds of integrations into database, CRM, ERP and proprietary systems. Including unstructured data such as emails, PDFs, Word and spreadsheets. We map data by tracking all Extract step locations, identifying customer data with as little information as possible, supporting billions of records. Consolidation of all data, resulting in a graphic or textual view of the risks of all the organization's databases, using a score based on 12 steps, following the main points of the LGPD. Our solution does not rely on any specific technology from the cloud provider. The solution can be deployed at on-premises data centers, or at any cloud provider. Pontus Vision LGPD's architecture has minimal manual steps to allow large amounts of data to be processed. The solution supports flow of billions of records. Pontus Vision LGPD was designed and built as a modular solution that is capable of taking data from hundreds of different formats. -
25
Wrangu Privacy Hub
Wrangu
Our Data Privacy Management Software, Privacy Hub, combines the flexibility to meet your business needs, whilst creating efficiencies to drive your ROI, and delivering transparency to keep the board happy. We have a suite of Data Privacy Management software and solutions to aid your privacy compliance journey. We support your business as you mature on your privacy management journey. Global privacy laws like the GDPR, CCPA, and others, have led to organizations changing the way they think about data privacy management. Privacy Hub by Wrangu is a powerful and easy-to-use data privacy management software that solves these challenges at scale, allowing organizations to simplify their privacy program management in a single source of truth. Our data privacy management software, Privacy Hub, automates and harmonizes the disparate activities of various teams into one seamless outcome ensuring ongoing compliance. -
26
Manetu
Manetu
The Manetu data crypto-vault provides enterprise class personal and sensitive data management services across critical business priorities. A repository where personal and, or sensitive data is ingested, secured and de-identified such that it can be used for analytics, testing, discovery and, other revenue generating capabilities. Data use across organizations compromises security, privacy and, consent. Needs a copy of the data to develop new applications to maintain good client satisfaction. Needs a copy of the data to run new sales plays, grow the business or deliver on goods and services. Needs a copy of the data for analysis to create new, targeted marketing campaigns. Needs a copy of the data to run reports on how the business is doing. Needs a copy of the data to develop new models and algorithms to drive margin expansion. These data usage models propagate risk as more exposure is created throughout an organization. -
27
DATA LEGAL DRIVE
DATA LEGAL DRIVE
The diagnostic allows you to assess your GDPR compliance level. It will help you identify areas for improvement, build an action plan, and prioritize the steps required to move smoothly through the compliance process. Work collaboratively and speed up processing mapping using built-in templates. Select standard processing activities or add new ones, complete the information required and validate to finalize processing mapping. Whether you’re contacting data subjects or processing their requests via secure authentication, it’s easy to manage and archive data subject requests from your employees, customers or service providers directly, all on a single platform. Discover the highly intuitive, simple and secure user interface. Automate your processes, map your processing activities and generate your record in a few clicks, easily manage and archive employee, customer and service provider DSRs. Use built-in templates to create standard contracts, clauses, emails et legal notices.Starting Price: €195 per month -
28
Text IQ
Text IQ
We’re excited to announce that Text IQ has been acquired by Relativity, a global legal and compliance technology company. We’re thrilled to continue our mission to build the best AI for the world’s most complex and sensitive information—now on the leading platform for organizing data, discovering the truth, and acting on unstructured data. Listen to our customers share their eye-opening results applying AI to unstructured information. We’re automating some of the most time consuming and expensive aspects of your business. It’s innovation that makes a positive difference to your bottom line. We equip our customers with technology that makes a difference. See how they're getting outsized results from automating document review and discovering hidden insights. -
29
DataWise
Data Protection People
Our cybersecurity dashboard, DataWise, has been designed and built to manage Data Protection in a single dashboard. It provides practical features and templates for data protection compliance, allowing organisations to automate and control many of the tasks required to comply with legislation like the Data Protection Act 2018 (DPA) and General Data Protection Regulation (GDPR). We have been busy behind the scenes developing an updated release of DataWise 2.0. The new update is mobile-friendly, simple to use and practical. The cybersecurity dashboard now features a comprehensive register of all your data assets, data processes and risks. Sign up for our newsletter to receive information on the release date! -
30
Infor OS
Infor
Infor OS is your cloud operating platform for the future, designed to bring productivity, business processes and Artificial Intelligence together, and offer operational insights that were never accessible to a business before. The platform delivers technology that goes beyond enabling business, it drives it, putting the user at the centre of every experience, and serving as a unifying foundation for your entire business ecosystem. The result is a connected, intelligent network that automates, anticipates, predicts, and informs your stakeholders, unifying your business. By marrying business processes to employee communications, Infor OS's collaboration capabilities allow you to contextualise intelligence, make single sign-on a reality, and increase efficiency by enabling employees to work smarter and faster. Quickly develop enterprise capabilities tailored to your needs with the extensibility provided by Infor OS.
