Best Data Management Software - Page 86
View:
Compare the Top Data Management Software as of February 2026 - Page 86
Sort By:
-
1
HEAVY.AI
HEAVY.AI
HEAVY.AI is the pioneer in accelerated analytics. The HEAVY.AI platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallelism of modern CPU and GPU hardware, the platform is available in the cloud and on-premise. HEAVY.AI originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Expand beyond the limitations of traditional BI and GIS by leveraging the full power of modern GPU and CPU hardware so you can extract decision-quality information from your massive datasets without lag. Unify and explore your largest geospatial and time-series datasets to get the complete picture of the what, when, and where. Combine interactive visual analytics, hardware-accelerated SQL, and an advanced analytics & data science framework to find opportunity and risk hidden in your enterprise when you need to most. -
2
Dell EMC Avamar
Dell
Dell EMC Avamar enables fast, efficient backup and recovery through its integrated variable-length deduplication technology. Avamar is optimized for fast, daily full backups of physical and virtual environments, NAS servers, enterprise applications, remote offices and desktops/laptops. Avamar is available as a virtual edition or as a component of Dell EMC Data Protection Suite, which offers you a complete suite of data protection software options. Backup and recovery optimized for virtual environments. Enables application-consistent recovery of enterprise applications. Uses variable-length deduplication for high performance and lower cost. Provides intuitive centralized management and encryption for data security. Dell Technologies On Demand delivers the industry's broadest end-to-end portfolio of consumption-based and as-a-service solutions ideally suited for the way on-premises infrastructure and services are consumed in the on-demand economy. -
3
OneView
OneView
Working exclusively with real data creates significant challenges for machine learning model training. Synthetic data enables limitless machine learning model training, addressing the drawbacks and challenges of real data. Boost the performance of your geospatial analytics by creating the imagery you need. Customizable satellite, drone, and aerial imagery. Create scenarios, change object ratios, and adjust imaging parameters quickly and iteratively. Any rare objects or occurrences can be created. The resulting datasets are fully-annotated, error-free, and ready for training. The OneView simulation engine creates 3D worlds as the base for synthetic satellite and aerial images, layered with multiple randomization factors, filters, and variation parameters. The synthetic images replace real data for remote sensing systems in machine learning model training. They achieve superior interpretation results, especially in cases with limited coverage or poor-quality data. -
4
Confluent
Confluent
Infinite retention for Apache Kafka® with Confluent. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming enables you to innovate and win - by being both real-time and highly-scalable. Ever wonder how your rideshare app analyzes massive amounts of data from multiple sources to calculate real-time ETA? Ever wonder how your credit card company analyzes millions of credit card transactions across the globe and sends fraud notifications in real-time? The answer is event streaming. Move to microservices. Enable your hybrid strategy through a persistent bridge to cloud. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. The list is endless. -
5
SharePlex
Quest Software
Love your database but hate your data replication tools? You may feel as if you’re stuck paying for costly management packs and add-ons that don’t deliver all the functionality you need. But what if you could achieve your database goals – without buying native tools? You’d free up resources to invest in new ways to drive your business forward. With SharePlex®, you can replicate Oracle data – at a fraction of the price of native tools. Easily achieve high availability, increase scalability, integrate data and offload reporting with the all-inclusive solution your database vendor doesn’t want you to know about. Move your data – not your budget – with affordable database replication software. Businesses are under increasing pressure to get more value from their data while driving down cost. In addition, DBAs are trying to ensure database operations runs smoothly while ensuring data resiliency through high availability (HA) and disaster recovery (DR). -
6
EMC RecoverPoint
Dell
Dell EMC RecoverPoint replication provides the continuous data protection you need to recover any application, on any supported storage array, in any location, to any point in time. Meet your recovery point objectives (RPOs) and recovery time objectives (RTOs) with instant access to data. You can use RecoverPoint to support disaster recovery, operational recovery, and testing. With more than 30,000 appliances installed worldwide, RecoverPoint is a trusted and proven data protection and disaster recovery solution. Dell EMC RecoverPoint supports the entire Dell EMC storage (block) portfolio including the software-defined storage solution ScaleIO. Distributes data (fan-out) and consolidates data (fan-in) to multiple remote sites. 3-site MetroPoint topology disaster recovery with VPLEX Metro continuous availability. Replicates data over any distance to significantly reduce bandwidth consumption. -
7
NetApp SnapMirror
NetApp
Discover fast, efficient, array-based data replication for backup, disaster recovery, and data mobility. NetApp® SnapMirror® replicates data at high speeds over LAN or WAN, so you get high data availability and fast data replication for your business-critical applications, including Microsoft Exchange, Microsoft SQL Server, and Oracle, in both virtual and traditional environments. And when you replicate data to one or more NetApp storage systems and continually update the secondary data, your data is kept current and remains available whenever you need it. No external replication servers are required. Easily manage replication between storage endpoints, from flash to disk to cloud. Transport data seamlessly and efficiently between NetApp storage systems to support both backup and disaster recovery with the same target volume and I/O stream. Failover to any secondary volume. Recover from any point-in-time Snapshot on the secondary storage. -
8
IBM Storage Protect is a data backup and recovery software. Storage Protect is part of the software defined storage products in the IBM Storage portfolio. For backup and recovery of SaaS applications, see Storage Protect for Cloud. IBM Storage Protect (formerly IBM Spectrum Protect) provides comprehensive data resilience for physical file servers, virtual environments and a wide range of applications. Organizations can scale up to manage billions of objects per backup server. Clients can reduce backup infrastructure costs with built-in data efficiency capabilities and the ability to migrate or copy data to tape, public cloud services, and on-premises object storage. IBM Storage Protect can also store IBM Storage Protect Plus data, allowing companies to take advantage of their existing investment for long-term data retention and disaster recovery.
-
9
FalconStor
FalconStor Software
FalconStor is a trusted data protection innovator with over an Exabyte of data under management, enabling the world’s most demanding enterprises to modernize their data backup and archival operations across data centers and public clouds. The company delivers increased data security and provides the fast recovery from ransomware attack while driving down costs by up to 90 percent. FalconStor is trusted by 1,000 customers and a network of partners around the world. -
10
Hitachi Universal Replicator
Hitachi Vantara
Hitachi Universal Replicator satisfies the most demanding business continuity and disaster recovery requirements. This software asynchronously replicates data between Hitachi storage systems, over any distance. Avoid disruptions to your data and your business with high-performance synchronous and asynchronous replication. Read this datasheet to explore how Hitachi TrueCopy remote replication software ensures business continuity and disaster recovery with synchronous replication and data protection, and improves productivity for both business and IT processes. For ever yday uptime and rapid recover y demands in the event of an outage, choose Hitachi TrueCopy remote replication software. TrueCopy synchronously mirrors data between Hitachi storage systems across metropolitan distances. Hitachi TrueCopy remote replication software can be integrated with Hitachi ShadowImage replication software to enable robust business continuity solu-tions. -
11
Oracle GoldenGate
Oracle
Oracle GoldenGate is a comprehensive software package for real-time data integration and replication in heterogeneous IT environments. The product set enables high availability solutions, real-time data integration, transactional change data capture, data replication, transformations, and verification between operational and analytical enterprise systems. Oracle GoldenGate 19c brings extreme performance with simplified configuration and management, tighter integration with Oracle Database, support for cloud environments, expanded heterogeneity, and enhanced security. In addition to the Oracle GoldenGate core platform for real-time data movement, Oracle provides the Management Pack for Oracle GoldenGate—a visual management and monitoring solution for Oracle GoldenGate deployments—as well as Oracle GoldenGate Veridata, which allows high-speed, high-volume comparison between two in-use databases. -
12
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. -
13
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. -
14
Hadoop
Apache Software Foundation
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2). -
15
Aircloak Insights
Aircloak
Aircloak Insights is a transparent proxy sitting between analysts and the sensitive data they need to work with. Analysts query the system like normal, using SQL or dashboards like Tableau. Aircloak Insights intercepts the query and tailors it to the data backend which may be SQL or a NoSQL big data store. Results are returned via the proxy which ensures they are aggregated and fully anonymized. Aircloak Insights integrates directly in your existing workflow. You can query your sensitive datasets using the query editor in our easy-to-use web interface, Insights Air, or connect using business intelligence tools like Tableau or any other tools or dashboards that know how to communicate using the Postgres Message Protocol. Aircloak Insights also allows you to run queries programmatically using a RESTful API. -
16
Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources. -
17
CData Query Federation Drivers
CData Software
The Query Federation Drivers provide a universal data access layer that simplifies application development and data access. The drivers make it easy to query data across systems with SQL through a common driver interface. The Query Federation Drivers enable users to embed Logical Data Warehousing capabilities into any application or process. A Logical Data Warehouse is an architectural layer that enables access to multiple data sources on-demand, without relocating or transforming data in advance. Essentially the Query Federation Drivers give users simple, SQL-based access to all of your databases, data warehouses, and cloud applications through a single interface. Developers can pick multiple data processing systems and access all of them with a single SQL-based interface. -
18
Amazon Kinesis
Amazon
Easily collect, process, and analyze video and data streams in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin. Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days. -
19
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. -
20
Kibana
Elastic
Kibana is a free and open user interface that lets you visualize your Elasticsearch data and navigate the Elastic Stack. Do anything from tracking query load to understanding the way requests flow through your apps. Kibana gives you the freedom to select the way you give shape to your data. With its interactive visualizations, start with one question and see where it leads you. Kibana core ships with the classics: histograms, line graphs, pie charts, sunbursts, and more. And, of course, you can search across all of your documents. Leverage Elastic Maps to explore location data, or get creative and visualize custom layers and vector shapes. Perform advanced time series analysis on your Elasticsearch data with our curated time series UIs. Describe queries, transformations, and visualizations with powerful, easy-to-learn expressions. -
21
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. -
22
VeriAS
Verias
Our unique software systems enable SMS routing and delivery, Data Management and Analytics, and Email Scoring. This empowers our clients to reach customers with the highest propensity to engage and convert. -
23
tye.io
tye GmbH
tye is a Software-as-a-Service (SaaS) personal assistant that helps companies keep the contact information of their customers up-to-date. -
24
Phynd
Phynd Technologies
A single platform to operationalize and optimize provider data enterprise-wide. Phynd 360 is an innovative provider data platform, serving as health systems’ central hub for all provider data. Phynd optimizes provider data – people, places and services – for use in EHR, Marketing and Claims systems via platform tools which offer provider enrollment, management, outreach and search across the enterprise. Manage data specific to employed, referring and affiliated providers. Maintain profiles of your care locations for consumers, providers and care coordinators. Match providers with the right specialty, subspecialty, clinical and consumer-friendly terms. Track provider and location participation in commercial and health system plans, ACOs, and narrow networks. -
25
Kaggle
Kaggle
Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 19,000 public datasets and 200,000 public notebooks to conquer any analysis in no time. -
26
Cloud Dataprep
Google
Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis, reporting, and machine learning. Because Cloud Dataprep is serverless and works at any scale, there is no infrastructure to deploy or manage. Your next ideal data transformation is suggested and predicted with each UI input, so you don’t have to write code. Cloud Dataprep is an integrated partner service operated by Trifacta and based on their industry-leading data preparation solution. Google works closely with Trifacta to provide a seamless user experience that removes the need for up-front software installation, separate licensing costs, or ongoing operational overhead. Cloud Dataprep is fully managed and scales on demand to meet your growing data preparation needs so you can stay focused on analysis. -
27
Amazon EMR
Amazon
Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting. -
28
Kogni
Kogni
Kogni's Discover feature enables enterprises to locate and detect all sensitive and critical information. Discover sensitive data from any source, in any format and in any type. Employ Kogni’s expert sensitive data discovery software to automate data discovery and classification. Our ease of implementation allows for seamless integration with your enterprise’s data warehouse. Accelerate compliance with international data regulations and industry standards with Kogni’s sensitive data discovery tool. Minimize the risk of data leak and the cost of non-compliance with data protection and privacy regulations like HIPAA, GDPR, CCPA, PCI, and PII amongst others. Scans and pin-points sensitive data from 10+ data sources. Produces a comprehensive sensitive information dashboard with an array of special features. Custom-build your sensitive data classification groups as per your company’s needs. Supports a wide range of data types and formats. -
29
Sightcorp
Sightcorp
Get real-time shopper insights. Measure customer satisfaction. Get to know who your converted customers are. Our Face Analysis Technology is empowering brick-and-mortar businesses with real-time, anonymous shoppers’ insights to help you optimize customer experiences and day-to-day retail operations. Check out our recommended products. Create smarter in-store experiences that maximize engagement and customer satisfaction. We all want to boost customer engagement because an engaged customer is a return customer. Our software provides you real-time insights into your shoppers’ demographic profile, interest, and behavior. Get to know who your converted customers are, optimize everything, from shelf-level displays to store layout based on customers’ behavior. Are you reaching your target audience? Our software can help you get answers to these questions. -
30
Google Cloud Bigtable
Google
Google Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads. Fast and performant: Use Cloud Bigtable as the storage engine that grows with you from your first gigabyte to petabyte-scale for low-latency applications as well as high-throughput data processing and analytics. Seamless scaling and replication: Start with a single node per cluster, and seamlessly scale to hundreds of nodes dynamically supporting peak demand. Replication also adds high availability and workload isolation for live serving apps. Simple and integrated: Fully managed service that integrates easily with big data tools like Hadoop, Dataflow, and Dataproc. Plus, support for the open source HBase API standard makes it easy for development teams to get started.
