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About

CloverDX is the data integration platform that puts you in control. Build data pipelines visually in CloverDX Designer, in code, or with AI, and move freely between all three. Run ETL, data transformation and data migration jobs on autopilot, with schedules, file and message listeners and API triggers, or on demand through published endpoints and Data Apps for non-engineers. Typed metadata finds schema drift before production does, and a full execution history makes every run auditable. Teams use CloverDX for client data onboarding, legacy system replacement, data quality validation, and automation of manual data work at scale. Customers grow data volume and client count without growing the team. Deploy on premises, in your own cloud, hybrid, or in containers and Kubernetes. Your data never crosses our infrastructure. Pay a flat annual price for capacity, not for rows, runs or connectors.

About

IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration. Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds. Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift. Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data engineers, integration developers and IT teams at mid-sized and large organizations that onboard client data, integrate internal systems, or run data processes under regulatory scrutiny.

Audience

DevOps teams

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$21000/annual
Annual subscription licensed by capacity, not usage. DX Units buy engineering capacity - each converts to a production server core or a developer seat, and reallocates between the two at any time - under a Standard, Plus or Enhanced plan that sets the support, services and training wrapper. Flat per-user seats add the self-service Business Tools and AI-assisted authoring. Nothing meters rows, runs, connectors or data volume.
Free Version
Free Trial

Pricing

$1000 per month
5 active jobs
5 users
50 published pipelines
99.9% uptime
Email Support (Business hours M-F)
Free Version
Free Trial

Reviews/Ratings

Overall 4.5 / 5
ease 4.0 / 5
features 5.0 / 5
design 4.5 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • If you are IT professional (ideally with previous ETL/DI experience) then within relatively small amount of time, you can create powerful data transformation pipelines. This tool boasts rich capabilities to automate your data transformations and publish the results - files, classic DB targets, message queues, API end-points and others.
  • - Visual style of designing data transformations which which can be augmented by writing more complex logic as simple script. - Great monitoring options to find bottlenecks and/or pinpoint errors. - Built-in Parallelism increasing throughput. - Excellent support team that provides useful advice. - Regular updates through new releases - bugs and security vulnerabilities addressed quickly

Cons

  • The list of built-in connectors is less impressive than with the bigger competition. Limited offering in terms of adjacent fields (MDM, Data Replication)
  • - Initial learning curve for non-technical user - Their concept of metadata differs from other tools - Smaller user community compared to the "big guys"

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

CloverDX
Founded: 2007
Czech Republic, USA, UK
www.cloverdx.com

Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/streamsets

Alternatives

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Astera Centerprise

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Alternatives

dbt

dbt

dbt Labs
Apache Airflow

Apache Airflow

The Apache Software Foundation
Alooma

Alooma

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Lenses

Lenses

Lenses.io

Categories

Categories

Data Lineage Features

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Management Features

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Quality Features

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

ETL Features

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration Features

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

DevOps Features

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Streaming Analytics Features

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Integrations

Amazon Redshift
Amazon Simple Queue Service (SQS)
Apache Cassandra
Azure Data Lake Storage
Couchbase
CrateDB
Elasticsearch
FileTrail Records Management
HPE Ezmeral Data Fabric
Hadoop
MongoDB
MySQL
PostgreSQL
Redis
SAP HANA
Salesforce
Snowflake
Splunk Cloud Platform
Tableau
Vertica

Integrations

Amazon Redshift
Amazon Simple Queue Service (SQS)
Apache Cassandra
Azure Data Lake Storage
Couchbase
CrateDB
Elasticsearch
FileTrail Records Management
HPE Ezmeral Data Fabric
Hadoop
MongoDB
MySQL
PostgreSQL
Redis
SAP HANA
Salesforce
Snowflake
Splunk Cloud Platform
Tableau
Vertica
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Claim CloverDX and update features and information
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