Best Data Management Software for Elasticsearch - Page 3

Compare the Top Data Management Software that integrates with Elasticsearch as of July 2025 - Page 3

This a list of Data Management software that integrates with Elasticsearch. Use the filters on the left to add additional filters for products that have integrations with Elasticsearch. View the products that work with Elasticsearch in the table below.

  • 1
    Nightfall

    Nightfall

    Nightfall

    Discover, classify, and protect your sensitive data. Nightfall™ uses machine learning to identify business-critical data, like customer PII, across your SaaS, APIs, and data infrastructure, so you can manage & protect it. Integrate in minutes with cloud services via APIs to monitor data without agents. Machine learning classifies your sensitive data & PII with high accuracy, so nothing gets missed. Setup automated workflows for quarantines, deletions, alerts, and more - saving you time and keeping your business safe. Nightfall integrates directly with all your SaaS, APIs, and data infrastructure. Start building with Nightfall’s APIs for sensitive data classification & protection for free. Via REST API, programmatically get structured results from Nightfall’s deep learning-based detectors for things like credit card numbers, API keys, and more. Integrate with just a few lines of code. Seamlessly add data classification to your applications & workflows using Nightfall's REST API.
  • 2
    JanusGraph

    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.
  • 3
    TiMi

    TiMi

    TIMi

    With TIMi, companies can capitalize on their corporate data to develop new ideas and make critical business decisions faster and easier than ever before. The heart of TIMi’s Integrated Platform. TIMi’s ultimate real-time AUTO-ML engine. 3D VR segmentation and visualization. Unlimited self service business Intelligence. TIMi is several orders of magnitude faster than any other solution to do the 2 most important analytical tasks: the handling of datasets (data cleaning, feature engineering, creation of KPIs) and predictive modeling. TIMi is an “ethical solution”: no “lock-in” situation, just excellence. We guarantee you a work in all serenity and without unexpected extra costs. Thanks to an original & unique software infrastructure, TIMi is optimized to offer you the greatest flexibility for the exploration phase and the highest reliability during the production phase. TIMi is the ultimate “playground” that allows your analysts to test the craziest ideas!
  • 4
    Kylo

    Kylo

    Teradata

    Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI.
  • 5
    NetOwl Extractor
    NetOwl Extractor offers highly accurate, fast, and scalable entity extraction in multiple languages using AI-based natural language processing and machine learning technologies. NetOwl's named entity recognition software can be deployed on premises or in the cloud, enabling a variety of Big Data Text Analytics applications. With over 100 types of entities, NetOwl offers a broad semantic ontology for entity extraction that goes beyond that of standard named entity extraction software. It includes people, various types of organizations (e.g., companies, governments), several types of places (e.g., countries, cities), addresses, artifacts, phone numbers, titles, etc. This expansive named entity recognition (NER) forms the foundation for more advanced relationship extraction and event extraction. Domains include Business, Finance, Politics, Homeland Security, Law Enforcement, Military, National Security, and Social Media.
  • 6
    NetOwl NameMatcher
    NetOwl NameMatcher, the winner of the MITRE Multicultural Name Matching Challenge, offers the most accurate, fast, and scalable name matching available. Using a revolutionary machine learning-based approach, NetOwl addresses complex fuzzy name matching challenges. Traditional name matching approaches, such as Soundex, edit distance, and rule-based methods, suffer from both precision (false positives) and recall (false negative) problems in addressing the variety of fuzzy name matching challenges discussed above. NetOwl applies an empirically driven, machine learning-based probabilistic approach to name matching challenges. It derives intelligent, probabilistic name matching rules automatically from large-scale, real-world, multi-ethnicity name variant data. NetOwl utilizes different matching models optimized for each of the entity types (e.g., person, organization, place) In addition, NetOwl performs automatic name ethnicity detection as well.
  • 7
    Secuvy AI
    Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data.
  • 8
    Amundsen

    Amundsen

    Amundsen

    Discover & trust data for your analysis and models. Be more productive by breaking silos. Get immediate context into the data and see how others are using it. Search for data within your organization by a simple text search. A PageRank-inspired search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Build trust in data using automated and curated metadata, descriptions of tables and columns, other frequent users, when the table was last updated, statistics, a preview of the data if permitted, etc. Easy triage by linking the ETL job and code that generated the data. Update tables and columns with descriptions, reduce unnecessary back and forth about which table to use and what a column contains. See what data fellow co-workers frequently use, own or have bookmarked. Learn what most common queries for a table look like by seeing dashboards built on a given table.
  • 9
    Heroic

    Heroic

    Heroic

    Heroic is an open-source monitoring system originally built at Spotify to address problems faced with large scale gathering and near real-time analysis of metrics. Heroic uses a small set of components which are responsible for very specific things. Indefinite retention, as long as you have the hardware spend. Federation support to connect multiple Heroic clusters into a global interface. Heroic uses a small set of components which are responsible for very specific things. Consumers are the component responsible for consuming metrics. When building Heroic it was quickly realized that navigating hundreds of millions of time series without context is hard. Heroic has support for federating requests, which allows multiple independent Heroic clusters to serve clients through a single global interface. This can be used to reduce the amount of geographical traffic by allowing one cluster to operate completely isolated within its zone.
  • 10
    Circonus IRONdb
    Circonus IRONdb makes it easy to handle and store unlimited volumes of telemetry data, easily handling billions of metric streams. Circonus IRONdb enables users to identify areas of opportunity and challenge in real time, providing forensic, predictive, and automated analytics capabilities that no other product can match. Rely on machine learning to automatically set a “new normal” as your data and operations dynamically change. Circonus IRONdb integrates with Grafana, which has native support for our analytics query language. We are also compatible with other visualization apps, such as Graphite-web. Circonus IRONdb keeps your data safe by storing multiple copies of your data in a cluster of IRONdb nodes. System administrators typically manage clustering, often spending significant time maintaining it and keeping it working. Circonus IRONdb allows operators to set and forget their cluster, and stop wasting resources manually managing their time series data store.
  • 11
    StreamFlux

    StreamFlux

    Fractal

    Data is crucial when it comes to building, streamlining and growing your business. However, getting the full value out of data can be a challenge, many organizations are faced with poor access to data, incompatible tools, spiraling costs and slow results. Simply put, leaders who can turn raw data into real results will thrive in today’s landscape. The key to this is empowering everyone across your business to be able to analyze, build and collaborate on end-to-end AI and machine learning solutions in one place, fast. Streamflux is a one-stop shop to meet your data analytics and AI challenges. Our self-serve platform allows you the freedom to build end-to-end data solutions, uses models to answer complex questions and assesses user behaviors. Whether you’re predicting customer churn and future revenue, or generating recommendations, you can go from raw data to genuine business impact in days, not months.
  • 12
    Samza

    Samza

    Apache Software Foundation

    Samza allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka. Battle-tested at scale, it supports flexible deployment options to run on YARN or as a standalone library. Samza provides extremely low latencies and high throughput to analyze your data instantly. Scales to several terabytes of state with features like incremental checkpoints and host-affinity. Samza is easy to operate with flexible deployment options - YARN, Kubernetes or standalone. Ability to run the same code to process both batch and streaming data. Integrates with several sources including Kafka, HDFS, AWS Kinesis, Azure Eventhubs, K-V stores and ElasticSearch.
  • 13
    Integrate.io

    Integrate.io

    Integrate.io

    Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increase your data team's output with all of the simple, powerful tools & connectors you’ll ever need in one no-code data integration platform. Empower any size team to consistently deliver projects on-time & under budget. We ensure your success by partnering with you to truly understand your needs & desired outcomes. Our only goal is to help you overachieve yours. Integrate.io's Platform includes: -No-Code ETL & Reverse ETL: Drag & drop no-code data pipelines with 220+ out-of-the-box data transformations -Easy ELT & CDC :The Fastest Data Replication On The Market -Automated API Generation: Build Automated, Secure APIs in Minutes - Data Warehouse Monitoring: Finally Understand Your Warehouse Spend - FREE Data Observability: Custom
  • 14
    DigDash

    DigDash

    DigDash

    Every day, your business generates countless data. Used correctly, this data is invaluable. Aggregated together, this strategic information opens up an ocean of opportunities. Expert in business intelligence, DigDash accompanies you through a reliable solution to simply exploit your data and increase your performance today. From design to deployment, from questions of use to development needs, DigDash is by your side for the long term, in a close relationship. In a desire for continuous improvement, flexibility is at the heart of our DNA. Our software stands out for its ease of use at all levels. The solution is recognized as one of the most powerful on the market. Whatever your operational vision, our tool adapts to your business specificities. Thanks to enlightened real-time visibility on all your activities, from marketing to finance, from sales to HR, your managers are able to make rational decisions at the right time.
  • 15
    Semarchy xDI
    Experience Semarchy’s flexible unified data platform to empower better business decisions enterprise-wide. Integrate all your data with xDI, the high-performance, agile, and extensible data integration for all styles and use cases. Its single technology federates all forms of data integration, and mapping converts business rules into deployable code. xDI has extensible and open architecture supporting on-premise, cloud, hybrid, and multi-cloud environments.
  • 16
    Acryl Data

    Acryl Data

    Acryl Data

    No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes.
  • 17
    Kestra

    Kestra

    Kestra

    Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways.
  • 18
    Baidu AI Cloud Stream Computing
    Baidu Stream Computing (BSC) provides real-time streaming data processing capacity with low delay, high throughput and high accuracy. It is fully compatible with Spark SQL; and can realize the logic data processing of complicated businesses through SQL statement, which is easy to use; provides users with full life cycle management for the streaming-oriented computing jobs. Integrate deeply with multiple storage products of Baidu AI Cloud as the upstream and downstream of stream computing, including Baidu Kafka, RDS, BOS, IOT Hub, Baidu ElasticSearch, TSDB, SCS and others. Provide a comprehensive job monitoring indicator, and the user can view the monitoring indicators of the job and set the alarm rules to protect the job.
  • 19
    LightBeam.ai

    LightBeam.ai

    LightBeam.ai

    Discover within minutes if sensitive information lurks in places you never expected (screenshots, logs, tickets, messages, tables). With one click, LightBeam can easily generate executive or delta reports to gain valuable insights into your sensitive data. Automate DSRs leveraging LightBeam's unique PII/PHI graphs comprehensively created from your data infrastructure. Build trust with your users by empowering them to exercise control over their data collection. Continuously monitor how sensitive data is collected, used, shared, and maintained with appropriate safeguards within your organization.
  • 20
    InformationGrid

    InformationGrid

    InformationGrid

    Most businesses are aware that data can help them to understand their customers better to improve processes and solve problems. We have developed a safe solution for sharing and aggregating data: InformationGrid. Get valuable insights with InformationGrid, a safe solution for sharing and aggregating data. A solution that allows hospitals and general practitioners to share data in order to prescribe better medications. Whether you have a clear idea of your data strategy or need some guidance defining this; we’re here to help you put your data strategy into action. Our SAAS platform enables you to share and aggregate data in a way that’s secure and cost-efficient. To keep time to value as short as possible we can build an application that can handle large amounts of data, and we can build it fast by using cloud-native techniques. This enables you to reap the short-term benefits of the data and get ready to start using AI to advance your business.
  • 21
    Simba

    Simba

    insightsoftware

    Common dashboards, reporting, and ETL tools often lack connectivity to certain data sources, creating integration challenges for users. Simba offers ready-to-use, standards-based drivers that ensure compatibility, simplifying the connectivity process. Companies that provide data to customers struggle to offer headache-free, easy data connectivity to their users. Simba’s SDK allows developers to build custom, standards-based drivers, making connectivity more friendly than CSV export or API-based access. Unique backend requirements, such as specific implementation needs dictated by specific applications or internal processes, can complicate connectivity. Using Simba’s SDK or managed services enables the creation of drivers tailored to meet these requirements. Simba provides comprehensive ODBC/JDBC extensibility for a wide range of applications and data tools. Simba Drivers plug into these tools to enhance their offerings, enabling additional connectivity to data sources.
  • 22
    Salesforce Data Cloud
    Salesforce Data Cloud is a real-time data platform designed to unify and manage customer data from multiple sources across an organization, enabling a single, comprehensive view of each customer. It allows businesses to collect, harmonize, and analyze data in real time, creating a 360-degree customer profile that can be leveraged across Salesforce’s various applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. This platform enables faster, more personalized customer interactions by integrating data from online and offline channels, including CRM data, transactional data, and third-party data sources. Salesforce Data Cloud also offers advanced AI gents and analytics capabilities, helping organizations gain deeper insights into customer behavior and predict future needs. By centralizing and refining data for actionable use, Salesforce Data Cloud supports enhanced customer experiences, targeted marketing, and efficient, data-driven decision-making across departments.
  • 23
    TROCCO

    TROCCO

    primeNumber Inc

    TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing.
  • 24
    Observo AI

    Observo AI

    Observo AI

    ​Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval.
  • 25
    DataSift

    DataSift

    DataSift

    Extract insights from a universe of human-created data. With data from social networks, blogs, news, and more. Integrate social, blog and news data in a single place. Real-time and historic data from billions of data points. Normalized and enriched data in real-time for accurate analysis. With DataSift, you can deliver Human Data into business intelligence (BI) tools and business processes in real-time. You can also innovate with our powerful API to build your own apps. Human Data is the fastest growing type of data that covers the entire spectrum of human-generated information regardless of format or channel through which it is delivered. It includes text, image, audio or video shared with other people on social networks, blogs, news content and inside the business. The DataSift Human Data platform unifies all the data - real-time and historical - in one place, unlocks its meaning and delivers it for use anywhere in the business.
  • 26
    CData Python Connectors
    CData Python Connectors simplify the way that Python users connect to SaaS, Big Data, NoSQL, and relational data sources. Our Python Connectors offer simple Python database interfaces (DB-API), making it easy to connect with popular tooling like Jupyter Notebook, SQLAlchemy, pandas, Dash, Apache Airflow, petl, and more. CData Python Connectors create a SQL wrapper around APIs and data protocols, simplifying data access from within Python and enabling Python users to easily connect more than 150 SaaS, Big Data, NoSQL, and relational data sources with advanced Python processing. The CData Python Connectors fill a critical gap in Python tooling by providing consistent connectivity with data-centric interfaces to hundreds of different SaaS/Cloud, NoSQL, and Big Data sources. Download a 30-day free trial or learn more at: https://www.cdata.com/python/
  • 27
    OctoData

    OctoData

    SoyHuCe

    OctoData is deployed at a lower cost, in Cloud hosting and includes personalized support from the definition of your needs to the use of the solution. OctoData is based on innovative open-source technologies and knows how to adapt to open up to future possibilities. Its Supervisor offers a management interface that allows you to quickly capture, store and exploit a growing quantity and variety of data. With OctoData, prototype and industrialize your massive data recovery solutions in the same environment, including in real time. Thanks to the exploitation of your data, obtain precise reports, explore new possibilities, increase your productivity and gain in profitability.
  • 28
    SSIS Integration Toolkit
    Jump right to our product page to see our full range of data integration software, including solutions for SharePoint and Active Directory. With over 300 individual data integration tools for connectivity and productivity, our data integration solutions allow developers to take advantage of the flexibility and power of the SSIS ETL engine to integrate virtually any application or data source. You don't have to write a single line of code to make data integration happen so your development can be done in a matter of minutes. We make the most flexible integration solution on the market. Our software offers intuitive user interfaces that are flexible and easy to use. With a streamlined development experience and an extremely simple licensing model, our solution offers the best value for your investment. Our software offers many specifically designed features that help you achieve the best possible performance without having to hijack your budget.
  • 29
    BigBI

    BigBI

    BigBI

    BigBI enables data specialists to build their own powerful big data pipelines interactively & efficiently, without any coding! BigBI unleashes the power of Apache Spark enabling: Scalable processing of real Big Data (up to 100X faster) Integration of traditional data (SQL, batch files) with modern data sources including semi-structured (JSON, NoSQL DBs, Elastic, Hadoop), and unstructured (Text, Audio, video), Integration of streaming data, cloud data, AI/ML & graphs
  • 30
    Data Sentinel

    Data Sentinel

    Data Sentinel

    As a business leader, you need to trust your data and be 100% certain that it’s well-governed, compliant, and accurate. Including all data, in all sources, and in all locations, without limitations. Understand your data assets. Audit for risk, compliance, and quality in support of your project. Catalog a complete data inventory across all sources and data types, creating a shared understanding of your data assets. Run a one-time, fast, affordable, and accurate audit of your data. PCI, PII, and PHI audits are fast, accurate, and complete. As a service, with no software to purchase. Measure and audit data quality and data duplication across all of your enterprise data assets, cloud-native and on-premises. Comply with global data privacy regulations at scale. Discover, classify, track, trace and audit privacy compliance. Monitor PII/PCI/PHI data propagation and automate DSAR compliance processes.