Best Data Management Software - Page 58
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Compare the Top Data Management Software as of May 2026 - Page 58
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Culverdocs
Culverdocs
You can customize our forms to your specific use case, process, and the desired outcome. They’re simple and easy to use for teams of all sizes. Improve your efficiency and reduce costs by transforming your paper forms into beautiful digital documents in minutes. No need for time-consuming training! Culverdocs offers clean, simple methods of data entry and guides your users through the complete process. Instant delivery means no more waiting for paper forms to arrive so you can focus on more important tasks. Distribute high-quality reports beautifully branded to your business and utilize custom dashboards to provide real-time reporting & analysis of your data. Our workflows allows distribution of data to the correct departments seamlessly. It’s easy to integrate Culverdocs with your existing systems. Our integrations let you connect with a host of services or even build a custom integration with any REST service.Starting Price: £20 per user per month -
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Oracle Data Guard
Oracle
Oracle Data Guard ensures high availability, data protection, and disaster recovery for enterprise data. Oracle Data Guard provides a comprehensive set of services that create, maintain, manage, and monitor one or more standby databases to enable production Oracle databases to survive disasters and data corruptions. Data Guard provides the management, monitoring, and automation software to create and maintain one or more synchronized copies of a production database to protect Oracle data from failures, disasters, human error, and data corruptions while providing high availability for mission critical applications. Data Guard is included with Oracle Database Enterprise Edition. Active Data Guard is licensed option to the Oracle Database Enterprise Edition and enables advanced capabilities that extend the basic Data Guard functionality.Starting Price: $46 per user per year -
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Records Disposition Approval Module
Cassia Content Management
Records Disposition Approval Module for Content Suite. The essential records management add-on for OpenText Content Server. Product Features. RDA is the essential records management module for OpenText Content Suite. Driven by customers like you, RDA was built to make it easy for OpenText Content Server (OTCS) users to sign-off on records as well as to reduce the time it takes for records managers to process the records once they receive the approvals. Simplified Sign-Off Process for Approvers The ability to view all the metadata for an object so a decision can be made quickly. RDA Filters and Facets to quickly identify sets of records and approve or reject them in batches. Simplified Records Disposition Support Ability to request feedback for support if User is unsure about a certain record. Easily select approved records and de-select rejected records for processing in a disposition search. Bulk apply holds or update records management metadata directly from an RDA. -
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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. -
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AnyGrids
AnyGrids
AnyGrids is a free JavaScript grid library with charts integration for visualizing any business data. With AnyGrid's vanilla library, you can quickly create interactive tables from Javascript arrays, JSON formatted data, AJAX data sources. You can include the library in your project (by script tag or npm package installation) and keep working on it without any additional adjustments. AnyGrid allows you to sort, filter, and group your data, use expanding table rows with custom data rendering, custom (bar, pie, linear) sparklines, use packaged themes, column calculations, and pagination. -
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Railz
Railz.ai
Railz is building the largest financial data network by bridging the connection between future-thinking financial institutions and real-time accounting data. Railz accomplishes this through an API that connects financial institutions to all major accounting software solutions, such as QuickBooks, Xero, and Sage. We offer financial institutions (FIs) the ability to connect with account service providers, collect data, normalize and sanitize that accounting data, and analyze it. Railz enables on-demand access to financial transactions, analytics, insights and reports on small and medium business (SMB) customers. Whether you’re a lender, financial institution, accounting firm, auditor, or startup developer that requires financial data, we can make this a reality for you - and fast. -
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HiBob Finance Suite
HiBob
HiBob’s Finance Suite is a modern financial planning platform that aligns people plans with financial goals. It combines financial insights and collaborative planning to give businesses a complete view of performance. Teams can analyze key metrics, track burn rate, and monitor runway using real-time dashboards. The platform integrates live headcount data to ensure accurate forecasting and budgeting. Finance and HR teams can collaborate on workforce planning and cost management with shared data. Built-in models and metrics help organizations plan confidently and adapt quickly. HiBob’s Finance Suite enables growing businesses to make smarter, faster financial decisions. -
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IBM Cloud® Mass Data Migration uses storage devices with 120 TB of usable capacity to accelerate moving data to the cloud and overcome common transfer challenges like high costs, long transfer times and security concerns — all in a single service. Using a single IBM Cloud Mass Data Migration device, you can migrate up to 120 TB of data (at RAID-6) in just days, as opposed to weeks or months using traditional data-transfer methods. Whether you need to migrate a few terabytes or many petabytes of data, you have the flexibility to request one or multiple devices to accommodate your workload. Moving large data sets can be an expensive and time-consuming process. Use an IBM Cloud Mass Data Migration device at your location for just 50 USD per day. IBM sends you a preconfigured device for you to simply connect, ingest data and then ship back to IBM for offload into IBM Cloud Object Storage. Once offloaded, enjoy immediate access to your data in the cloud while IBM securely wipes the device.Starting Price: $50 per day
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Starburst Enterprise
Starburst Data
Starburst helps you make better decisions with fast access to all your data; Without the complexity of data movement and copies. Your company has more data than ever before, but your data teams are stuck waiting to analyze it. Starburst unlocks access to data where it lives, no data movement required, giving your teams fast & accurate access to more data for analysis. Starburst Enterprise is a fully supported, production-tested and enterprise-grade distribution of open source Trino (formerly Presto® SQL). It improves performance and security while making it easy to deploy, connect, and manage your Trino environment. Through connecting to any source of data – whether it’s located on-premise, in the cloud, or across a hybrid cloud environment – Starburst lets your team use the analytics tools they already know & love while accessing data that lives anywhere. -
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E-MapReduce
Alibaba
EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is a big data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS instances and is based on open-source Apache Hadoop and Apache Spark. EMR allows you to use the Hadoop and Spark ecosystem components, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, to analyze and process data. You can use EMR to process data stored on different Alibaba Cloud data storage service, such as Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). You can quickly create clusters without the need to configure hardware and software. All maintenance operations are completed on its Web interface. -
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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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Flatfile
Flatfile
Flatfile is an AI-powered data exchange platform designed to streamline the collection, mapping, cleaning, transformation, and conversion of data for enterprises. It offers a rich library of smart APIs for file-based data import, enabling developers to integrate its capabilities seamlessly into their applications. The platform provides an intuitive, workbook-style user experience, facilitating user-friendly data management with features like search, find and replace, and sort functionalities. Flatfile ensures compliance with industry standards, being SOC 2, HIPAA, and GDPR compliant, and operates on secure cloud infrastructure for scalability and performance. By automating data transformations and validations, Flatfile reduces manual effort, accelerates data onboarding processes, and enhances data quality across various industries. -
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Macrometa
Macrometa
We deliver a geo-distributed real-time database, stream processing and compute runtime for event-driven applications across up to 175 worldwide edge data centers. App & API builders love our platform because we solve the hardest problems of sharing mutable state across 100s of global locations, with strong consistency & low latency. Macrometa enables you to surgically extend your existing infrastructure to bring part of or your entire application closer to your end users. This allows you to improve performance, user experience, and comply with global data governance laws. Macrometa is a serverless, streaming NoSQL database, with integrated pub/sub and stream data processing and compute engine. Create stateful data infrastructure, stateful functions & containers for long running workloads, and process data streams in real time. You do the code, we do all the ops and orchestration. -
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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. -
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Google Cloud Datastore
Google
Datastore is a highly scalable NoSQL database for your applications. Datastore automatically handles sharding and replication, providing you with a highly available and durable database that scales automatically to handle your applications' load. Datastore provides a myriad of capabilities such as ACID transactions, SQL-like queries, indexes, and much more. With Datastore's RESTful interface, data can easily be accessed by any deployment target. You can build solutions that span across App Engine and Compute Engine and rely on Datastore as the integration point. Focus on building your applications without worrying about provisioning and load anticipation. Datastore scales seamlessly and automatically with your data, allowing applications to maintain high performance as they receive more traffic. -
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Azure Cache for Redis
Microsoft
As traffic and demands on your app increase, scale performance simply and cost-effectively. Add a quick caching layer to the application architecture to handle thousands of simultaneous users with near-instant speed—all with the benefits of a fully managed service. Superior throughput and performance to handle millions of requests per second with sub-millisecond latency. Fully managed service with automatic patching, updates, scaling, and provisioning so you can focus on development. RedisBloom, RediSearch, and RedisTimeSeries module integration, supporting data analysis, search, and streaming. Powerful capabilities including clustering, built-in replication, Redis on Flash, and availability of up to 99.99 percent. Complement database services like Azure SQL Database and Azure Cosmos DB by enabling your data tier to scale throughput at a lower cost than through expanded database instances.Starting Price: $1.11 per month -
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Lumen Relational DB
Lumen
Relational DB supports rapid software delivery requirements by providing speedy access to a high performance, enterprise-hardened relational database instance built on our high performance cloud platform. Our datbase-as-a-service gives you a working database instance in no time, without any of the headaches associated with deploying the underlying compute infrastructure. And just as importantly, you can easily scale resources at the click of a button as your needs change. Software development today happens at warp-speed, so no one can afford long lead times to deploy physical database infrastructure. Lumen’s Relational DB service expedites access to an enterprise-hardened relational database instance, which means your team will be uploading data and digging into application development in minutes. The Lumen Relational DB service is deployed on our high performance cloud platform. -
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Count
Count
Count is a fully collaborative and reactive data whiteboard. It brings together all the flexibility and creativity of a whiteboard, with the power of a SQL IDE, and the reactivity of BI notebooks. It makes it easy to break apart complex SQL queries and data models into interconnected cells to better understand the logic. Add sticky notes and visuals to help explain your work to stakeholders. Collaborate with other analysts or stakeholders as you build so you can get feedback faster. Turn any canvas into an interactive report or slideshow presentation.Starting Price: $34 per editor per month -
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Accern
Accern
The Accern No-Code NLP Platform empowers domain experts and business analysts to extract the most accurate insights from massive streams of unstructured data–including news, social media, industry reports and internal documents—within minutes. Accern offers pre-built AI/ML/NLP solutions to minimize time to value and maximize ROI for equity research, credit risk, M&A activity, ESG performance, insurance claims, fraud prevention, sanctions monitoring and more. Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end AI/ML/NLP workflows with BYO datasets, taxonomies, models and pre-integrated dashboards and DSML platforms. In production at companies like Allianz, William Blair and Mizuho Bank, Accern accelerates innovation by enhancing existing models and enriching BI dashboards. -
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GUN
amark
Realtime, decentralized, offline-first, graph database engine. The data that needs to stored, loaded, and shared in your app without worrying about servers, network calls, databases, or tracking offline changes or concurrency conflicts. GUN is a small, easy, and fast data sync and storage system that runs everywhere JavaScript does. The aim of GUN is to let you focus on the data that needs to be stored, loaded, and shared in your app without worrying about servers, network calls, databases, or tracking offline changes or concurrency conflicts. This lets you build cool apps fast. GUN gives you the most powerful weapons of the internet — decentralization and real privacy — to reclaim the web and make it truly free and open. GUN is a database engine that runs everywhere JavaScript does — browsers, mobile devices and servers, allowing you to build exactly the data system you want. -
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Blazegraph
Blazegraph
Blazegraph™ DB is a ultra high-performance graph database supporting Blueprints and RDF/SPARQL APIs. It supports up to 50 Billion edges on a single machine. It is in production use for Fortune 500 customers such as EMC, Autodesk, and many others. It is supporting key Precision Medicine applications and has wide-spread usage for life science applications. It is used extensively to support Cyber analytics in commercial and government applications. It powers the Wikimedia Foundation's Wikidata Query Service. You can choose an executable jar, war file, or tar.gz distribution. Blazegraph is designed to be easy to use and get started. It ships without SSL or authentication by default for this reason. For production deployments, we strongly recommend you enable SSL, authentication, and appropriate network configurations. There are some helpful links below to enable you to do this. -
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Apache Giraph
Apache Software Foundation
Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle and a growing community of users worldwide, Giraph is a natural choice for unleashing the potential of structured datasets at a massive scale. Apache Giraph is an iterative graph processing framework, built on top of Apache Hadoop. -
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Fluree
Fluree
Fluree is an immutable RDF graph database written in Clojure and adhering to W3C standards, supporting JSON and JSON-LD while accommodating various RDF ontologies; it boasts a scalable, cloud-native architecture utilizing a lightweight Java runtime, with individually scalable ledger and graph database components, embodying a "Data-Centric" ideology that treats data as a reusable asset independent of singular applications, underpinned by an immutable ledger that secures transactions with cryptographic integrity, alongside a rich RDF graph database capable of various queries, and employs SmartFunctions for enforcing data management rules, including identity and access management and data quality. -
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Grakn
Grakn Labs
Building intelligent systems starts at the database. Grakn is an intelligent database - a knowledge graph. An insanely intuitive & expressive data schema, with constructs to define hierarchies, hyper-entities, hyper-relations and rules, to build rich knowledge models. An intelligent language that performs logical inference of data types, relationships, attributes and complex patterns, during runtime, and over distributed & persisted data. Out-of-the-box distributed analytics (Pregel and MapReduce) algorithms, accessible through the language through simple queries. Strong abstraction over low-level patterns, enabling simpler expressions of complex constructs, while the system figures out the most optimal query execution. Scale your enterprise Knowledge Graph with Grakn KGMS and Workbase. A distributed database designed to scale over a network of computers through partitioning and replication. -
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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 -
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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. -
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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. -
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Graph Story
Graph Story
Companies that opt for a DIY approach for their graph database can expect 2 to 3 months for a production-ready implementation. With Graph Story’s managed service, your production-ready database is available within minutes. Learn more about graph use cases as well as see a comparison between self-hosting and using a managed service. We can deploy where your servers already live: AWS, Azure, or Google Compute Engine, in any region. Need VPC peering or IP-restricted access? Just let us know. We're flexible like that. Building a proof of concept? Fire up a single, enterprise graph instance with a few clicks. Need to move up to a high-availability, production-ready cluster on-demand? We've got you covered! We built graph db management tools so you don't have to! See CPU, Memory and Disk utilization at glance. Get access to configs, logs, backup your database & restore snapshots.Starting Price: $299 per month -
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HugeGraph
HugeGraph
HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin (a powerful graph traversal language). Among its features, it provides compliance to Apache TinkerPop 3, supporting Gremlin. Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel. Multi-type Indexes, supporting exact query, range query and complex conditions combination query. Plug-in Backend Store Driver Framework, supporting RocksDB, Cassandra, ScyllaDB, HBase and MySQL now and easy to add other backend store driver if needed. Integration with Hadoop/Spark. HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax. -
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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.
