Alternatives to jethro
Compare jethro alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to jethro in 2026. Compare features, ratings, user reviews, pricing, and more from jethro competitors and alternatives in order to make an informed decision for your business.
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Google Cloud Platform
Google
Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging. -
2
StarTree
StarTree
StarTree, powered by Apache Pinot™, is a fully managed real-time analytics platform built for customer-facing applications that demand instant insights on the freshest data. Unlike traditional data warehouses or OLTP databases—optimized for back-office reporting or transactions—StarTree is engineered for real-time OLAP at true scale, meaning: - Data Volume: query performance sustained at petabyte scale - Ingest Rates: millions of events per second, continuously indexed for freshness - Concurrency: thousands to millions of simultaneous users served with sub-second latency With StarTree, businesses deliver always-fresh insights at interactive speed, enabling applications that personalize, monitor, and act in real time.Starting Price: Free -
3
Improvado
Improvado
Improvado is an AI-powered marketing intelligence platform that enables marketing and analytics teams to unlock the full potential of their data for impactful business decisions. Designed for medium to large enterprises and agencies, Improvado seamlessly integrates, simplifies, governs, and attributes complex data from various sources, delivering a unified view of marketing ROI and performance. With 500+ ready-made connectors extracting over 40,000 data fields from virtually every marketing platform you use, Improvado seamlessly: - Integrates all your marketing and sales data into a unified dashboard - Normalizes disparate data structures into consistent, usable formats - Generates instant reports that previously took days to compile manually - Delivers real-time cross-channel performance insights - Automatically updates your visualization tools like Tableau, Looker, or Power BI -
4
Juicebox
Juice Analytics
Create Reports Your Customer Will Love Juicebox takes the pain out of producing data reports and presentations—and you’ll delight customers with beautiful, interactive web experiences. Design once, deliver to 5 or 500 customers. Personalized to each. Modern, interactive charts that tell a story – no coding required. Build with simple spreadsheets, or connect to your database. Imagine if PowerPoint and Tableau had a baby 👶 — and it was beautiful! 😍 Save Time. Build once, use often. Whether you need to present similar data across time, customers, or locations, no need to manually recreate the same report. Design Like a Pro. Our built-in templates, styling themes, and smart layouts will ensure your customers get a premium experience. Inspire Action. Data stories go beyond traditional dashboards and reports. Our connected data stories enable guided flow and interactive exploration.Starting Price: $15/editor/month -
5
Semeon Analytics
Semeon Analytics
Semeon can help you understand and prioritize large-scale employee, customer and marketplace feedback data from anywhere like social, surveys, reviews and CRM data. Our platform automatically extracts the most relevant multi-word concepts from your data, measures sentiment and generates insightful dashboards. Available in 10+ native languages, government entities, security and defense agencies, brands and organizations around the world rely on Semeon’s technology to improve customer experience and citizens’ life, reduce operational costs and drive growth.Starting Price: $1200/month -
6
DashboardFox
5000fish
Dashboards, codeless reporting, interactive data visualizations, data level security, mobile access, scheduled reports, embedding, sharing via link, and more. DashboardFox is a dashboard and data visualization solution designed for business users with a no-subscription pricing model. Pay once and you own the software for life. DashboardFox is self-hosted, install on your own server, behind your firewall. Looking for Cloud BI? We offer managed hosting services, but you still retain ownership of your DashboardFox licenses and data. DashboardFox allows your users to drill-down and interact with live data visualizations via dashboards and reports. Business users can create new visualization in a codeless report builder without needing a technical pedigree. An alternative to Tableau, Sisense, Looker, Domo, Qlik, Crystal Reports, and others.Starting Price: $495 one-time payment -
7
Strategy ONE
Strategy Software
Strategy ONE (formerly MicroStrategy) is an AI-powered platform designed to accelerate business intelligence and data-driven insights. It combines advanced AI with business intelligence (BI) tools to help organizations streamline workflows, automate processes, and improve data accessibility. With its ability to integrate multiple data sources, Strategy ONE ensures that businesses can trust the data they analyze and make informed decisions faster. The platform supports cloud-native technologies, enabling seamless scalability and adaptability. Additionally, Strategy ONE’s AI chat interface allows for intuitive data querying and analysis, making it easier for users to interact with their data and drive impactful results. -
8
CData Connect
CData Software
CData Connect Your organization depends on real-time business and operational data to deliver actionable insights and drive growth. CData Connect is the missing link in your data value chain. CData Connect enables direct connectivity from any application that supports standard database connectivity, including popular cloud BI and ETL applications, such as: - Amazon Glue - Amazon QuickSight - Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud - SAS Cloud - SAS Viya - Tableau Online ... and many more! CData Connect acts like a data gateway, translating SQL, and securely proxying API requests. -
9
Varada
Varada
Varada’s dynamic and adaptive big data indexing solution enables to balance performance and cost with zero data-ops. Varada’s unique big data indexing technology serves as a smart acceleration layer on your data lake, which remains the single source of truth, and runs in the customer cloud environment (VPC). Varada enables data teams to democratize data by operationalizing the entire data lake while ensuring interactive performance, without the need to move data, model or manually optimize. Our secret sauce is our ability to automatically and dynamically index relevant data, at the structure and granularity of the source. Varada enables any query to meet continuously evolving performance and concurrency requirements for users and analytics API calls, while keeping costs predictable and under control. The platform seamlessly chooses which queries to accelerate and which data to index. Varada elastically adjusts the cluster to meet demand and optimize cost and performance. -
10
Qlik Sense
Qlik
Empower people at all skill levels to make data-driven decisions and take action when it matters most. Deeper interactivity. Broader context. Lightning fast. No one else compares. Qlik’s one-of-a-kind Associative technology brings unmatched power to the core of our industry-leading analytics experience. Empower all your users to explore freely at the speed of thought with hyperfast calculations, always in context, at scale. Yeah, it’s a big deal. And it’s why Qlik Sense takes you way beyond the limits of query-based analytics and dashboards our competitors offer. Insight Advisor in Qlik Sense uses AI to help your users understand and use data more effectively, minimizing cognitive bias, amplifying discovery, and elevating data literacy. Organizations need a dynamic relationship with information that reflects the current moment. Traditional, passive BI falls short. -
11
CelerData Cloud
CelerData
CelerData is a high-performance SQL engine built to power analytics directly on data lakehouses, eliminating the need for traditional data‐warehouse ingestion pipelines. It delivers sub-second query performance at scale, supports on-the‐fly JOINs without costly denormalization, and simplifies architecture by allowing users to run demanding workloads on open format tables. Built on the open source engine StarRocks, the platform outperforms legacy query engines like Trino, ClickHouse, and Apache Druid in latency, concurrency, and cost-efficiency. With a cloud-managed service that runs in your own VPC, you retain infrastructure control and data ownership while CelerData handles maintenance and optimization. The platform is positioned to power real-time OLAP, business intelligence, and customer-facing analytics use cases and is trusted by enterprise customers (including names such as Pinterest, Coinbase, and Fanatics) who have achieved significant latency reductions and cost savings. -
12
doolytic
doolytic
doolytic is leading the way in big data discovery, the convergence of data discovery, advanced analytics, and big data. doolytic is rallying expert BI users to the revolution in self-service exploration of big data, revealing the data scientist in all of us. doolytic is an enterprise software solution for native discovery on big data. doolytic is based on best-of-breed, scalable, open-source technologies. Lightening performance on billions of records and petabytes of data. Structured, unstructured and real-time data from any source. Sophisticated advanced query capabilities for expert users, Integration with R for advanced and predictive applications. Search, analyze, and visualize data from any format, any source in real-time with the flexibility of Elastic. Leverage the power of Hadoop data lakes with no latency and concurrency issues. doolytic solves common BI problems and enables big data discovery without clumsy and inefficient workarounds. -
13
Apache Kylin
Apache Software Foundation
Apache Kylin™ is an open source, distributed Analytical Data Warehouse for Big Data; it was designed to provide OLAP (Online Analytical Processing) capability in the big data era. By renovating the multi-dimensional cube and precalculation technology on Hadoop and Spark, Kylin is able to achieve near constant query speed regardless of the ever-growing data volume. Reducing query latency from minutes to sub-second, Kylin brings online analytics back to big data. Kylin can analyze 10+ billions of rows in less than a second. No more waiting on reports for critical decisions. Kylin connects data on Hadoop to BI tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and SuperSet, making the BI on Hadoop faster than ever. As an Analytical Data Warehouse, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query functions. Kylin can support thousands of interactive queries at the same time, thanks to the low resource consumption of each query. -
14
Trino
Trino
Trino is a query engine that runs at ludicrous speed. Fast-distributed SQL query engine for big data analytics that helps you explore your data universe. Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low-latency analytics. The largest organizations in the world use Trino to query exabyte-scale data lakes and massive data warehouses alike. Supports diverse use cases, ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high-volume apps that perform sub-second queries. Trino is an ANSI SQL-compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset, and many others. You can natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. Access data from multiple systems within a single query.Starting Price: Free -
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USEReady
USEReady
Here’s a version reduced to approximately 800 characters: USEReady is a data, analytics, and AI solutions company that transforms data into actionable insights to drive better decisions. With over a decade of experience, USEReady offers migration tools like STORM and MigratorIQ, supported by a global team of experts. Their Pixel Perfect solution enhances BI platforms with advanced reporting workflows. USEReady’s two core practices, Data Value and Decision Intelligence, build modern data architectures and enable informed decisions for real-world outcomes. With offices in the U.S., Canada, India, and Singapore, USEReady has over 450 experts and has served more than 300 customers, including Fortune 500 firms. Partnering with Tableau, Salesforce, and AWS, USEReady has earned multiple awards like Tableau Partner of the Year. Headquartered in New York, USEReady promotes data democracy and self-service. -
16
Oracle Big Data Service
Oracle
Oracle Big Data Service makes it easy for customers to deploy Hadoop clusters of all sizes, with VM shapes ranging from 1 OCPU to a dedicated bare metal environment. Customers choose between high-performance NVmE storage or cost-effective block storage, and can grow or shrink their clusters. Quickly create Hadoop-based data lakes to extend or complement customer data warehouses, and ensure that all data is both accessible and managed cost-effectively. Query, visualize and transform data so data scientists can build machine learning models using the included notebook with its R, Python and SQL support. Move customer-managed Hadoop clusters to a fully-managed cloud-based service, reducing management costs and improving resource utilization.Starting Price: $0.1344 per hour -
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EspressReport ES
Quadbase Systems
EspressRepot ES (Enterprise Server) is a web and desktop-based software that allows users to develop stunning and interactive data visualization and reporting. The platform offers full Java EE integration, to draw data from data sources such as Bid Data (Hadoop, Spark, and MongoDB), ad-hoc queries and reports, online map support, mobile compatibility, alert monitor, and many other amazing features. -
18
IBM Db2 Big SQL
IBM
A hybrid SQL-on-Hadoop engine delivering advanced, security-rich data query across enterprise big data sources, including Hadoop, object storage and data warehouses. IBM Db2 Big SQL is an enterprise-grade, hybrid ANSI-compliant SQL-on-Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Db2 Big SQL offers a single database connection or query for disparate sources such as Hadoop HDFS and WebHDFS, RDMS, NoSQL databases, and object stores. Benefit from low latency, high performance, data security, SQL compatibility, and federation capabilities to do ad hoc and complex queries. Db2 Big SQL is now available in 2 variations. It can be integrated with Cloudera Data Platform, or accessed as a cloud-native service on the IBM Cloud Pak® for Data platform. Access and analyze data and perform queries on batch and real-time data across sources, like Hadoop, object stores and data warehouses. -
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Tencent Cloud Elastic MapReduce
Tencent
EMR enables you to scale the managed Hadoop clusters manually or automatically according to your business curves or monitoring metrics. EMR's storage-computation separation even allows you to terminate a cluster to maximize resource efficiency. EMR supports hot failover for CBS-based nodes. It features a primary/secondary disaster recovery mechanism where the secondary node starts within seconds when the primary node fails, ensuring the high availability of big data services. The metadata of its components such as Hive supports remote disaster recovery. Computation-storage separation ensures high data persistence for COS data storage. EMR is equipped with a comprehensive monitoring system that helps you quickly identify and locate cluster exceptions to ensure stable cluster operations. VPCs provide a convenient network isolation method that facilitates your network policy planning for managed Hadoop clusters. -
20
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). -
21
The Autonomous Data Engine
Infoworks
There is a consistent “buzz” today about how leading companies are harnessing big data for competitive advantage. Your organization is striving to become one of those market-leading companies. However, the reality is that over 80% of big data projects fail to deploy to production because project implementation is a complex, resource-intensive effort that takes months or even years. The technology is complicated, and the people who have the necessary skills are either extremely expensive or impossible to find. Automates the complete data workflow from source to consumption. Automates migration of data and workloads from legacy Data Warehouse systems to big data platforms. Automates orchestration and management of complex data pipelines in production. Alternative approaches such as stitching together multiple point solutions or custom development are expensive, inflexible, time-consuming and require specialized skills to assemble and maintain. -
22
QuerySurge
RTTS
QuerySurge is the enterprise-grade data quality platform that continuously automates the validation of data across your entire ecosystem ‐ from data warehouses and big data lakes to BI reports and enterprise applications. With AI-powered test creation, a scalable architecture, and seamless CI/CD integration, QuerySurge consistently ensures data integrity at every stage of the pipeline: accelerating delivery, reducing risk, and enabling confident decision-making. Use Cases - Data Warehouse & ETL Testing - Big Data Testing - DevOps for Data / DataOps / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Data Validation: enterprise-grade platform - AI: Automatically create data validation tests - BI Report Testing: Fully automated, no-code approach - DevOps for Data (DataOps): API w/60+ calls & Swagger docs, integrate continuous testing into your CI/CD pipelines - Data Connectors: For 200+ platforms -
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Apache Impala
Apache
Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.Starting Price: Free -
24
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. -
25
Tugger
Tugger
Tugger swiftly and securely copies your data out of your business system(s) and into data analytics tools Microsoft Power BI or Tableau for first-rate business reporting. Once your data is transferred, Tugger also gets you set up with key business reports for a complete end-to-end solution, no other ETL tool offers this complete package. Tugger makes your life easier by removing the need for any manual API integrations and reduces the risk of skewed data. No technical knowledge is required and all users get access to Tugger's popular support. Data Sources that Tugger integrates with include: HubSpot, Harvest, Microsoft Teams, JIRA, GitHub and more.Starting Price: £75 per month -
26
Azure HDInsight
Microsoft
Run popular open-source frameworks—including Apache Hadoop, Spark, Hive, Kafka, and more—using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. Effortlessly process massive amounts of data and get all the benefits of the broad open-source project ecosystem with the global scale of Azure. Easily migrate your big data workloads and processing to the cloud. Open-source projects and clusters are easy to spin up quickly without the need to install hardware or manage infrastructure. Big data clusters reduce costs through autoscaling and pricing tiers that allow you to pay for only what you use. Enterprise-grade security and industry-leading compliance with more than 30 certifications helps protect your data. Optimized components for open-source technologies such as Hadoop and Spark keep you up to date. -
27
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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Delta Lake
Delta Lake
Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads. Data lakes typically have multiple data pipelines reading and writing data concurrently, and data engineers have to go through a tedious process to ensure data integrity, due to the lack of transactions. Delta Lake brings ACID transactions to your data lakes. It provides serializability, the strongest level of isolation level. Learn more at Diving into Delta Lake: Unpacking the Transaction Log. In big data, even the metadata itself can be "big data". Delta Lake treats metadata just like data, leveraging Spark's distributed processing power to handle all its metadata. As a result, Delta Lake can handle petabyte-scale tables with billions of partitions and files at ease. Delta Lake provides snapshots of data enabling developers to access and revert to earlier versions of data for audits, rollbacks or to reproduce experiments. -
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QlikMaps
Analytics8
Extend Qlik’s out-of-the-box mapping capabilities with rich mapping visualizations from QlikMaps. Add rich, interactive location analytics to your Qlik apps. Make discoveries in your data that graphs, charts, and other visualizations just can’t reveal. Get the power of a Geographic Information System (GIS) without the cost and complexity. As a true Qlik extension, QlikMaps is easy to install and configure. In just a few minutes (with no coding required), you can create a map that includes custom coloring, pop-ups, multi-layers, and drill-down functionality. There's no extra server required, all third party licensing is included, and it's as as easy to create mapping visualizations with QlikMaps as it is to create anything else in Qlik. With it's simple user interface, no end user training will be necessary. Easily plot territories, polygons, heat maps, points, lines and density maps. Add context to your data and relate it to the real world by layering it on top of postal boundaries. -
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Atlan
Atlan
The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive. -
31
mAdvisor
Marlabs
We help you make the most of your data with our analytic expertise, digital platforms, and proven methodologies. Turn raw data into profitable decisions-without stress, without delay, and without fail! Data reporting & dashboards. Real-time visualization from streaming data sources. Narratives for BI platforms. Specialists in PowerBI, Tableau & Qlik Sense. Award-winning Auto ML solution that translates data into meaningful insights & predictions without manual intervention. ML lifecycle toolchain adoptions, pipeline design, build, deployment and automation. Mitigating bias and risks in ML systems. -
32
GeoSpock
GeoSpock
GeoSpock enables data fusion for the connected world with GeoSpock DB – the space-time analytics database. GeoSpock DB is a unique, cloud-native database optimised for querying for real-world use cases, able to fuse multiple sources of Internet of Things (IoT) data together to unlock its full value, whilst simultaneously reducing complexity and cost. GeoSpock DB enables efficient storage, data fusion, and rapid programmatic access to data, and allows you to run ANSI SQL queries and connect to analytics tools via JDBC/ODBC connectors. Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js. -
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Apache Storm
Apache Software Foundation
Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Apache Storm is simple, can be used with any programming language, and is a lot of fun to use! Apache Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Apache Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Apache Storm integrates with the queueing and database technologies you already use. An Apache Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. Read more in the tutorial. -
34
Apache Gobblin
Apache Software Foundation
A distributed data integration framework that simplifies common aspects of Big Data integration such as data ingestion, replication, organization, and lifecycle management for both streaming and batch data ecosystems. Runs as a standalone application on a single box. Also supports embedded mode. Runs as an mapreduce application on multiple Hadoop versions. Also supports Azkaban for launching mapreduce jobs. Runs as a standalone cluster with primary and worker nodes. This mode supports high availability and can run on bare metals as well. Runs as an elastic cluster on public cloud. This mode supports high availability. Gobblin as it exists today is a framework that can be used to build different data integration applications like ingest, replication, etc. Each of these applications is typically configured as a separate job and executed through a scheduler like Azkaban. -
35
EntelliFusion
Teksouth
Teksouth’s EntelliFusion is a fully managed, end-to-end solution. Rather than piecing together several different platforms for data prep, data warehousing and governance, then deploying a great deal of IT resources to figure out how to make it all work; EntelliFusion's architecture provides a one-stop shop for outfitting an organizations data infrastructure. With EntelliFusion, data silos become centralized in a single platform for cross functional KPI's, creating holistic and powerful insights. EntelliFusion’s “military-born” technology has proven successful against the strenuous demands of the USA’s top echelon of military operations. In this capacity, it was massively scaled across the DOD for over twenty years. EntelliFusion is built on the latest Microsoft technologies and frameworks which allows it to be continually enhanced and innovated. It is data agnostic, infinitely scalable, and guarantees accuracy and performance to promote end-user tool adoption. -
36
DataWorks
Alibaba Cloud
DataWorks is a Big Data platform product launched by Alibaba Cloud. It provides one-stop Big Data development, data permission management, offline job scheduling, and other features. DataWorks works straight ‘out-the-box’ without the need to worry about complex underlying cluster establishment and operations & management. You can drag and drop nodes to create a workflow. You can also edit and debug your code online, and ask other developers to join you. Supports data integration, MaxCompute SQL, MaxCompute MR, machine learning, and shell tasks. Supports task monitoring and sends alarms when errors occur to avoid service interruptions. Runs millions of tasks concurrently and supports hourly, daily, weekly, and monthly schedules. DataWorks is the best platform for building big data warehouses and provides comprehensive data warehousing services. DataWorks provides a full solution for data aggregation, data processing, data governance, and data services. -
37
WANdisco
WANdisco
Since 2010 we have seen Hadoop become an essential part of the data management landscape. Over the decade the majority of organizations have adopted Hadoop to build out their data lake infrastructure. However, while Hadoop offered a cost-effective way to store petabytes of data across a distributed environment, it introduced many complexities. The systems required specialized IT skills and the on-premises environments lacked the flexibility to easily scale the systems up and down as usage demands changed. The management complexity and flexibility challenges associated with on-premises Hadoop environments are much more optimally addressed in the cloud. To minimize the risks and costs associated with these data modernization efforts, many companies have selected to automate their cloud data migration with WANdisco. LiveData Migrator is a fully self-service solution requiring no WANdisco expertise or services. -
38
HPE Ezmeral Data Fabric
Hewlett Packard Enterprise
Access HPE Ezmeral Data Fabric Software as a fully managed service. Register now for a 300GB instance to try out the latest features and capabilities. Increasingly enterprise data is being distributed across a growing number of locations while at the same time, the demand for insights continues to grow as users expect richer, high-quality data insights. Hybrid cloud solutions offer the best outcomes in terms of cost, data placement, workload control, and user experience. The upside of hybrid is the ability to better match applications with the appropriate services across the application lifecycle. The downside of hybrid is that it adds a new dimension of complexity such as limited data visibility, the need to use multiple analytic formats, and the potential for organizational risk and increased costs. -
39
DataReef
DataReef
Assess your marketing data & identify opportunities for immediate improvement. A complete report of the existing situation. Analyze your missing information & determine your exact requirements for complete coverage of your target market. Fill in the gaps and source the new contact data you need for accurate targeting & segmentation. High performance results delivered. Reports, metrics and processes designed perfectly for ongoing accuracy and consistency. A step by step approach to tackle this Big Data task. Developed from over 250 years of combined experience with digital marketing campaigns & technologies. Quick wins and fast turnarounds are engineered into the step by step process. Delivering a clear and easy to use action plan. Improved delivery rates and CTR’s, Increase of inbound leads; Complete coverage of your target market, decision makers and influencers. Marketing Automation & CRM, technologies that house the data and drive the campaigns. -
40
Lentiq
Lentiq
Lentiq is a collaborative data lake as a service environment that’s built to enable small teams to do big things. Quickly run data science, machine learning and data analysis at scale in the cloud of your choice. With Lentiq, your teams can ingest data in real time and then process, clean and share it. From there, Lentiq makes it possible to build, train and share models internally. Simply put, data teams can collaborate with Lentiq and innovate with no restrictions. Data lakes are storage and processing environments, which provide ML, ETL, schema-on-read querying capabilities and so much more. Are you working on some data science magic? You definitely need a data lake. In the Post-Hadoop era, the big, centralized data lake is a thing of the past. With Lentiq, we use data pools, which are multi-cloud, interconnected mini-data lakes. They work together to give you a stable, secure and fast data science environment. -
41
Panoply
SQream
Panoply brings together a managed data warehouse with included, pre-built ELT data connectors, making it the easiest way to store, sync, and access all your business data. Our cloud data warehouse (built on Redshift or BigQuery), along with built-in data integrations to all major CRMs, databases, file systems, ad networks, web analytics tools, and more, will have you accessing usable data in less time, with a lower total cost of ownership. One platform with one easy price is all you need to get your business data up and running today. Panoply gives you unlimited access to data sources with prebuilt Snap Connectors and a Flex Connector that can bring in data from nearly any RestAPI. Panoply can be set up in minutes, requires zero ongoing maintenance, and provides online support including access to experienced data architects.Starting Price: $299 per month -
42
Azure Databricks
Microsoft
Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO). -
43
MX
MX Technologies
MX helps financial institutions and fintechs utilize their data more effectively to outperform the competition in a rapidly evolving industry. Our solutions enable clients to quickly and easily collect, enhance, analyze, present, and act on their financial data. MX puts a user’s data on center stage, molding it into a cohesive, intelligible, and interactive visualization. As a result, users engage more often and more deeply with your digital banking products. The Helios cross-platform framework gives MX clients the ability to offer mobile banking across a range of platforms and device types — all built from a single C++ codebase. This dramatically lowers maintenance costs and powers agile development. -
44
AnswerMiner
Answerminer
AnswerMiner is a new data exploration and visualisation tool that puts the tone on usability and simplicity instead of hard programming and requiring extra-knowledge to use it. The user-friendly interface helps to get familiar with the app quickly and makes the use of the features understandable. AnswerMiner is a cloud-based application that is available from anywhere at any time to find relations and meaningful insights in the data, even if the users are not data scientists, programmers, or statisticians. We believe that everybody can be a data analyst, they just need the right tool to get the most out of their data. Features: *Smart Data View *Automatic Charts *Correlation Matrix and Table *Relation Map *Prediction Tree *Report (Canvas) *Connectors: Mailchimp, Analytics, URL, MySQL, Google Drive, FTP, and more.Starting Price: $47.00/month -
45
Epicor Vista Market Share
Epicor
Vista Market Share provides fully independent, unbiased, accurate insight into market and category size, growth, share, opportunity, and more to help manufacturers assess their performance, identify issues, and implement strategies for faster, more profitable growth. Vista Market Share obtains data from a robust panel of electrical distributors capturing ~30% of full-line electrical distribution channel revenues. Vista Market Share provides an uncommon range of insights into manufacturer, brand, and product performance within the independent hardware channel, utilizing point-of-sale data gathered from a large sample of stores. Vista Market Share data is delivered via flat files that can easily be imported and analyzed using Tableau, Microsoft Power BI, and other popular business intelligence solutions. Epicor also offers user licenses for the consumption of Vista Market Share intelligence through the MicroStrategy web-based analytics platform. -
46
Hazelcast
Hazelcast
In-Memory Computing Platform. The digital world is different. Microseconds matter. That's why the world's largest organizations rely on us to power their most time-sensitive applications at scale. New data-enabled applications can deliver transformative business power – if they meet today’s requirement of immediacy. Hazelcast solutions complement virtually any database to deliver results that are significantly faster than a traditional system of record. Hazelcast’s distributed architecture provides redundancy for continuous cluster up-time and always available data to serve the most demanding applications. Capacity grows elastically with demand, without compromising performance or availability. The fastest in-memory data grid, combined with third-generation high-speed event processing, delivered through the cloud. -
47
IRI CoSort
IRI, The CoSort Company
What is CoSort? IRI CoSort® is a fast, affordable, and easy-to-use sort/merge/report utility, and a full-featured data transformation and preparation package. The world's first sort product off the mainframe, CoSort continues to deliver maximum price-performance and functional versatility for the manipulation and blending of big data sources. CoSort also powers the IRI Voracity data management platform and many third-party tools. What does CoSort do? CoSort runs multi-threaded sort/merge jobs AND many other high-volume (big data) manipulations separately, or in combination. It can also cleanse, mask, convert, and report at the same time. Self-documenting 4GL scripts supported in Eclipse™ help you speed or leave legacy: sort, ETL and BI tools; COBOL and SQL programs, plus Hadoop, Perl, Python, and other batch jobs. Use CoSort to sort, join, aggregate, and load 2-20X faster than data wrangling and BI tools, 10x faster than SQL transforms, and 6x faster than most ETL tools.Starting Price: $4,000 perpetual use -
48
Polywall
Polywall
Polywall is a software-based control room and video wall management platform designed for mission-critical environments. Acting as a control room layer for any video wall, Polywall enables organizations to visualize, manage, and interact with operational information from multiple systems within a unified workspace. The platform integrates dashboards, SCADA systems, CCTV and VMS platforms, GIS maps, IoT platforms, IT monitoring tools, browser applications, and business intelligence solutions such as Power BI, Tableau, and Qlik. Key capabilities include video wall management, multi-source visualization, browser-based dashboard publishing, remote video wall access, layout automation, role-based access control, LDAP integration, API-driven workflows, and enterprise monitoring support. Polywall is hardware-agnostic and helps organizations transform video walls from passive display surfaces into collaborative operational environments for NOCs, SOCs, EOCs, command centers, etc. -
49
Cazena
Cazena
Cazena’s Instant Data Lake accelerates time to analytics and AI/ML from months to minutes. Powered by its patented automated data platform, Cazena delivers the first SaaS experience for data lakes. Zero operations required. Enterprises need a data lake that easily supports all of their data and tools for analytics, machine learning and AI. To be effective, a data lake must offer secure data ingestion, flexible data storage, access and identity management, tool integration, optimization and more. Cloud data lakes are complicated to do yourself, which is why they require expensive teams. Cazena’s Instant Cloud Data Lakes are instantly production-ready for data loading and analytics. Everything is automated, supported on Cazena’s SaaS Platform with continuous Ops and self-service access via the Cazena SaaS Console. Cazena's Instant Data Lakes are turnkey and production-ready for secure data ingest, storage and analytics. -
50
EC2 Spot
Amazon
Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud. Spot Instances are available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads. Because Spot Instances are tightly integrated with AWS services such as Auto Scaling, EMR, ECS, CloudFormation, Data Pipeline and AWS Batch, you can choose how to launch and maintain your applications running on Spot Instances. Moreover, you can easily combine Spot Instances with On-Demand, RIs and Savings Plans Instances to further optimize workload cost with performance. Due to the operating scale of AWS, Spot Instances can offer the scale and cost savings to run hyper-scale workloads.Starting Price: $0.01 per user, one-time payment,