Best Data Management Software for Startups - Page 85
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Compare the Top Data Management Software for Startups as of April 2026 - Page 85
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Over-C
Over-C
Over C, It's exciting, being predictable. We build cutting edge, digital tools, that create empowered frontline teams. Empowered teams perform, collaborate and share insightful data. Data underpins profitable outcomes - allowing employers to clearly see today, but better shape tomorrow. Seeing is believing. If you are managing a high-footfall, high-risk or high-output venue or facility – such as an entertainment or sports arena, a transport hub, a shopping centre or manufacturing plant – how can you be certain that critical tasks such as security, cleaning, maintenance and hospitality services which are often contracted to a third party, are actually being delivered? Operational Transparency. Over-C gives you confidence that critical operational tasks are done - and done right. It allows you to make smarter decisions about how to deploy your frontline resources, responding in real-time to changing circumstances to make sure that everything runs smoothly. -
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IBM watsonx.data integration is a data integration platform designed to help organizations transform raw data into AI-ready data at scale. The platform enables data teams to build, manage, and optimize data pipelines across multiple environments, including on-premises systems and hybrid or multi-cloud infrastructures. With a unified control plane, watsonx.data integration supports multiple integration styles such as batch processing, real-time streaming, and data replication within a single solution. The platform also offers no-code, low-code, and pro-code development options, allowing both technical and non-technical users to design and manage data pipelines efficiently. By simplifying data integration workflows and reducing reliance on multiple tools, watsonx.data integration helps organizations deliver reliable data for analytics and AI applications.
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Arctera Enterprise Vault
Arctera
Arctera Enterprise Vault is a robust data archiving solution designed to help businesses meet regulatory compliance requirements. It allows for seamless data capture from multiple communication platforms, with support for over 120 content types. With features like advanced classification, Elasticsearch for efficient data retrieval, and customizable capture filters, the platform ensures businesses maintain accurate records for compliance with global regulations such as GDPR and MiFID II. Arctera provides deployment flexibility with options for on-prem, hybrid, or cloud-based solutions to suit any organization's needs. -
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Quantxt Theia
Quantxt
Extract data from scanned and digital documents. Process documents with any layout and complexity. Transform into a fully structured and machine-readable format. Process all your business documents automatically. Extract information from your scanned and digital documents into a structured format. Use the cleaned and structured data to derive a downstream process, store in a database or, simply, export into a spreadsheet. Go far beyond OCR and standard document parsing capabilities. Plain content extracted out of a document is not useful for most of the applications. It needs to be converted into a machine-readable format. Transform text and data embedded anywhere in your documents of any size and complexity into structured data. Bring scale and efficiency to your business. Automate data extraction and see the impact on your workflows immediately. Process a lot more documents without hiring more document scrubbers while eliminating human error. -
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STRATWs ONE
Siteware
Control your indicators and get results quickly. With our strategic management software you will have more time to plan, better organize your routine, manage and engage your team in the culture of results! We go far beyond organizing your routine! Discover the power of strategic management software, capable of improving your business results and engaging your team to achieve your goals. Performance indicator software helps to: Reduce time to collect, validate and consolidate KPIs. Identify problems and create action plans to solve them. Report your results at all levels of the company. Engage your entire team in results-oriented culture. Reach your goals and Improve your business results. Enable everyone to have the necessary conditions to achieve the objectives and goals. Organize the delivery of Strategic Projects and engage people in this process. Improve your team's productivity and make decisions with greater certainty and speed! -
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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 -
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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. -
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VMware HCX
Broadcom
Seamlessly extend your on-premises environments into cloud. VMware HCX streamlines application migration, workload rebalancing and business continuity across data centers and clouds. Large-scale movement of workloads across any VMware platform. vSphere 5.0+ to any current vSphere version on cloud or modern data center. KVM and Hyper-V conversion to any current vSphere version. Support for VMware Cloud Foundation, VMware Cloud on AWS, Azure VMware Services and more. Choice of migration methodologies to meet your workload needs. Live large-scale HCX vMotion migration of 1000’s of VMs. Zero downtime migration to limit business disruption. Secure proxy for vMotion and replication traffic. Migration planning and visibility dashboard. Automated migration-aware routing with NSX for network connectivity. WAN optimized links for migration across Internet or WAN. High-throughput L2 extension. Advanced traffic engineering to optimize the application migration times. -
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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. -
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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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ProteusCMS
Proteus.co
Proteus is a content and data management platform to power your customer and business driving websites. If your needs are a simple "brochure website" then we are not a fit. The perfect client for ProteusCMS is a business who leverages its website to grow the business including lead generation, intranets, extranets, online tools, workflow management, thought leadership, data gathering, custom databases, and highly-dynamic customer experiences. With over 15 years of web experience and proven technology, Proteus partners with you to execute the technical needs of your website experience. This experience combined with the Proteus Platform of comprehensive digital and content management tools which allows your businesses to respond to the ever-changing customer needs. Proteus’s SmartInnovation process helps guide the client through the complex process of product validation, design, implementation, and scaling. Our proven process has helped leading Fortune 500 clients and emerging startups. -
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Informatica Data as a Service
Informatica
Data as a Service, confidently engage with your customers using verified and enriched contact data. Data as a Service (DaaS) helps organizations of all sizes verify and enrich their data so they can confidently engage with their customers. With customer experience and engagement a top focus across all industries, ensure that messages and products make it to their intended targets via postal mail, email, or phone. For Informatica, Data as a Service begins with data that you can rely on. Without trusted, relevant, and authoritative data, you can’t engage effectively with your customers and prospects. With customer experience and engagements a top focus in all industries, ensuring that messages and products make it to their intended targets via postal mail, email, or phone is essential. Ensure high data quality by validating the accuracy of your contact data with Informatica, the leader in contact data verification. -
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Weights & Biases
Weights & Biases
Experiment tracking, hyperparameter optimization, model and dataset versioning with Weights & Biases (WandB). Track, compare, and visualize ML experiments with 5 lines of code. Add a few lines to your script, and each time you train a new version of your model, you'll see a new experiment stream live to your dashboard. Optimize models with our massively scalable hyperparameter search tool. Sweeps are lightweight, fast to set up, and plug in to your existing infrastructure for running models. Save every detail of your end-to-end machine learning pipeline — data preparation, data versioning, training, and evaluation. It's never been easier to share project updates. Quickly and easily implement experiment logging by adding just a few lines to your script and start logging results. Our lightweight integration works with any Python script. W&B Weave is here to help developers build and iterate on their AI applications with confidence. -
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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. -
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TerarkDB
Terark
TerarkDB is a core product of Terark. It is a RocksDB distribution that powered by ©™Terark algorithms. with these algorithms, TerarkDB is able to store more data and access much faster than official RocksDB(3+X more data and 10+X faster) on same hardware. TerarkDB is completely compatible(binary compatible) with official RocksDB. We forked RocksDB and made a few changes to fit our algorithms, we've added it as submodule rocksdb here. Our changes for RocksDB does not change any RocksDB API, and does not have any extra dependencies, say, Terark modified RocksDB does not depend on TerarkZipTable(Without TerarkZipTable, Terark RocksDB works exactly same as official RocksDB). -
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Oracle Exadata
Oracle
Oracle Exadata is the best place to run Oracle Database, simplifying digital transformations, increasing database performance, and reducing costs. Customers achieve higher availability, greater performance, and up to 40% lower cost with Oracle Exadata, as described in Wikibon’s analysis. Oracle Cloud Infrastructure, Oracle Cloud@Customer, and on-premises deployment options enable customers to modernize database infrastructure, move enterprise applications to the cloud, and rapidly implement digital transformations. Oracle Exadata allows customers to run Oracle Database with the same high performance, scale, and availability wherever needed. Workloads easily move between on-premises data centers, Cloud@Customer deployments, and Oracle Cloud Infrastructure, enabling customers to modernize operations and reduce costs. -
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TiDB
PingCAP
An open-source, cloud-native, distributed SQL database for elastic scale and real-time analytics. Supported by a wealth of open-source data migration tools in the ecosystem, TiDB gives you the freedom to choose your own vendor and avoid lock-in. Purposely built to deliver SQL at scale, TiDB eliminates the scaling problems of traditional relational databases without intrusion to your application. HTAP database platform that enables real-time situation awareness and decision making on live transactional data and eliminates friction between IT and business goals. TiDB is ACID-compliant and strongly consistent. You can use TiDB as a scale-out MySQL database with familiar SQL syntaxes and ecosystem tools. TiDB automatically shards your data so you don’t have to do it manually. You can simply add new nodes to scale horizontally and elastically to meet your business growth. TiDB simplifies the ETL process and automatically recovers from errors. -
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Vitess
Vitess
A database clustering system for horizontal scaling of MySQL. Vitess combines many important MySQL features with the scalability of a NoSQL database. Its built-in sharding features let you grow your database without adding sharding logic to your application. Vitess automatically rewrites queries that hurt database performance. It also uses caching mechanisms to mediate queries and prevent duplicate queries from simultaneously reaching your database. Vitess automatically handles functions like master failovers and backups. It uses a lock server to track and administer servers, letting your application be blissfully ignorant of database topology. Vitess eliminates the high-memory overhead of MySQL connections. Vitess servers easily handle thousands of connections at once. MySQL doesn’t natively support sharding, but you will likely need it as your database grows. -
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Alibaba Cloud DRDS
Alibaba
Distributed Relational Database Service (DRDS) is a lightweight, flexible, stable, and efficient middleware product developed by Alibaba Cloud. DRDS focuses on expanding standalone relational databases, and has been tested by core transaction links in Tmall, such as during the Singles’ Day Shopping Festival. DRDS has been used for ten years and is a trusted database service provider. Supports cluster-based data read and write and data storage. DRDS operates on multiple standalone servers, and performance is not affected by the number of user connections. Supports upgraded and downgraded data configurations, and the visualized scale-up and scale-out of data storage. Provides read and write splitting to linearly improve the reading performance. Supports multiple data splitting methods based on data types, such as parallel data splitting. Focuses on the primary shards of the database and supports parallel query execution. -
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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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Google Cloud Memorystore
Google
Reduce latency with scalable, secure, and highly available in-memory service for Redis and Memcached. Memorystore automates complex tasks for open source Redis and Memcached like enabling high availability, failover, patching, and monitoring so you can spend more time coding. Start with the lowest tier and smallest size and then grow your instance with minimal impact. Memorystore for Memcached can support clusters as large as 5 TB supporting millions of QPS at very low latency. Memorystore for Redis instances are replicated across two zones and provide a 99.9% availability SLA. Instances are monitored constantly and with automatic failover—applications experience minimal disruption. Choose from the two most popular open source caching engines to build your applications. Memorystore supports both Redis and Memcached and is fully protocol compatible. Choose the right engine that fits your cost and availability requirements. -
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AsparaDB
Alibaba
ApsaraDB for Redis is an automated and scalable tool for developers to manage data storage shared across multiple processes, applications or servers. As a Redis protocol compatible tool, ApsaraDB for Redis offers exceptional read-write capabilities and ensures data persistence by using memory and hard disk storage. ApsaraDB for Redis provides data read-write capabilities at high speed by retrieving data from in-memory caches and ensures data persistence by using both memory and hard disk storage mode. ApsaraDB for Redis supports advanced data structures such as leaderboard, counting, session, and tracking, which are not readily achievable through ordinary databases. ApsaraDB for Redis also has an enhanced edition called "Tair" . Tair has officially handled the data caching scenarios of Alibaba Group since 2009 and has proven its outstanding performance in scenarios such as Double 11 Shopping Festival. -
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Amazon Timestream
Amazon
Amazon Timestream is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases. Amazon Timestream saves you time and cost in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost optimized storage tier based upon user defined policies. Amazon Timestream’s purpose-built query engine lets you access and analyze recent and historical data together, without needing to specify explicitly in the query whether the data resides in the in-memory or cost-optimized tier. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in your data in near real-time. -
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Palantir Foundry
Palantir Technologies
Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrating siloed data sources into a common analytics and operations picture. Palantir works with commercial companies and government organizations alike to close the operational loop, feeding real-time data into your data science models and updating source systems. With a breadth of industry-leading capabilities, Palantir can help enterprises traverse and operationalize data to enable and scale decision-making, alongside best-in-class security, data protection, and governance. Foundry was named by Forrester as a leader in the The Forrester Wave™: AI/ML Platforms, Q3 2022. Scoring the highest marks possible in product vision, performance, market approach, and applications criteria. As a Dresner-Award winning platform, Foundry is the overall leader in the BI and Analytics market and rate -
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Elucidata Polly
Elucidata
Harness the power of biomedical data with Polly. The Polly Platform helps to scale batch jobs, workflows, coding environments and visualization applications. Polly allows resource pooling and provides optimal resource allocation based on your usage requirements and makes use of spot instances whenever possible. All this leads to optimization, efficiency, faster response time and lower costs for the resources. Get access to a dashboard to monitor resource usage and cost real time and minimize overhead of resource management by your IT team. Version control is integral to Polly’s infrastructure. Polly ensures version control for your workflows and analyses through a combination of dockers and interactive notebooks. We have built a mechanism that allows the data, code and the environment co-exist. This coupled with data storage on the cloud and the ability to share projects ensures reproducibility of every analysis you perform. -
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Quantifind Graphyte
Quantifind
Quantifind’s data analytics platform has been used for over a decade by governments and Fortune 50 companies to gain insights from a comprehensive array of public sources. Its success is rooted in its fusion of science with design; machine learning innovations with intuitive, feature-rich web applications and APIs. Today, Graphyte is used to combat financial crime risk. Its accuracy and features enable our customers to improve the efficiency of their AML investigations by 40% or more. Corporate data, law enforcement, regulatory, registrations, leaks, PEPs, sanctions, enforcement actions, barred and banned lists, and social media. Quantifind technology is leveraged throughout the investigation workflow to gain efficiencies in every step of the process. A powerful web application with a consumer-grade UX lets investigators find what they’re looking for fast. -
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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. -
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xtendr
xtendr
xtendr unhides detailed, privacy-preserving insights across multiple independent data sources. xtendr enables access to thus far inaccessible data, and protects you during your entire data lifecycle, giving you confidence in complete privacy and regulatory compliance. xtendr is more than anonymity, it’s the critical missing piece for multi-party data sharing with true privacy protection - it is cryptography on duty so you can reach your full potential. The most advanced privacy-enhancing data collaboration technology. xtendr solved the decades-long cryptography challenge of data sharing between mutually mistrustful parties. Take your business further with an enterprise-grade data protection offering that allows individual organizations to form data partnerships while protecting sensitive data. Data is the currency of our digital age. Some argue that it is replacing oil as the world's most valuable resource and there is no doubt about its growing importance. -
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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. -
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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).
