AirbyteData Engineering & OrchestrationAirbyte is an open-source data movement platform that syncs data between systems, available as self-managed Airbyte Core or hosted Airbyte Cloud.Open sourceSelf-hostedViews · 7 daysNo views in 7 days
Data Engineering & Orchestration
Browse ETL/ELT tools, data pipeline platforms, and data integration solutions.
13 results in Data Engineering & Orchestration
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AirbyteData Engineering & OrchestrationAirbyte is an open-source data movement platform that syncs data between systems, available as self-managed Airbyte Core or hosted Airbyte Cloud.Open sourceSelf-hosted16 views22,329 stars
AstronomerData Engineering & OrchestrationAstronomer builds Astro, a fully managed Apache Airflow platform with Private Cloud and an agent called Otto, priced by usage from $0.35 per hour.CommercialSelf-hostedPaidViews · 7 daysTop 10%
CensusData Engineering & OrchestrationCensus was a reverse ETL and data activation company. Fivetran announced its acquisition in May 2025, and the product now runs as Fivetran Activations, syncing warehouse and data lake data into CRMs, marketing platforms and other business tools.CommercialWeb platformFreemiumViews · 7 daysTop 29%
DagsterData Engineering & OrchestrationDagster is an asset-based data orchestrator with lineage and quality signals per asset, and is now part of Prefect.Open sourceSelf-hostedViews · 7 daysNo views in 7 days
EstuaryData Engineering & OrchestrationEstuary unifies log-based CDC, streaming and batch ETL in one platform with 200+ connectors, priced by data moved and connector instances run.Open sourceSoftwareFreemiumViews · 7 daysTop 29%
FivetranData Engineering & OrchestrationFivetran is a managed data movement service that syncs data from SaaS apps, databases and files into warehouses, lakes and databases, with dbt transformations, reverse ETL Activations, a REST API and usage-based pricing with a free plan.CommercialWeb platformFreemiumViews · 7 daysNo views in 7 days
HatchetData Engineering & OrchestrationHatchet queues and runs background tasks, DAG workflows and durable tasks written with SDKs for Python, TypeScript, Go and Ruby. It adds retries, concurrency, rate limits, cron and a dashboard, self-hosted on PostgreSQL or as Hatchet Cloud.Open sourceSelf-hostedFreemiumViews · 7 daysNo views in 7 days
HightouchData Engineering & OrchestrationHightouch syncs data from cloud warehouses (Snowflake, BigQuery, Databricks, Redshift) to marketing, sales and ad tools using a reverse ETL model, with a free tier and usage-based paid plans.CommercialSoftwareFreemiumViews · 7 daysTop 29%
Monte CarloData Engineering & OrchestrationMonte Carlo monitors data health across connected systems, including freshness and schema signals, with lineage for investigation.CommercialSoftwarePaidViews · 7 daysNo views in 7 days
QlikAnalytics & BIQlik Sense/Qlik Cloud provide associative-model BI and dashboards; the 2023 Talend acquisition added Qlik Talend Cloud for data integration and pipelines under the same vendor.CommercialSelf-hostedPaidViews · 7 daysTop 16%
RudderStackData Engineering & OrchestrationRudderStack is a warehouse-native customer data platform that collects, governs, unifies and activates customer data, with an open source version.Open sourceSelf-hostedViews · 7 daysNo views in 7 days
SegmentData Engineering & OrchestrationTwilio Segment is a customer data platform that collects events from websites, apps, servers, and connected tools and sends them to selected destinations.CommercialSoftwareFreemiumViews · 7 daysNo views in 7 days
TemporalData Engineering & OrchestrationTemporal runs application logic as durable Workflows and Activities written with SDKs in Go, Java, Python, TypeScript, .NET, PHP, Ruby or Rust. The MIT-licensed server is self-hosted or used as the usage-priced Temporal Cloud.Open sourceSelf-hostedFreemiumViews · 7 daysNo views in 7 days
Shortlists for Data Engineering & Orchestration
Explore collections with tools relevant to this category, grouped by deployment, source model or workload.
Open-source ETL and data pipeline tools →
6 matching tools from this category
IT tools with an API →
12 matching tools from this category
Self-hosted IT tools →
7 matching tools from this category
How to choose data engineering & orchestration tools
Data engineering tools move data between systems and coordinate the jobs that transform it. The category spans ELT connectors that load sources into a warehouse, change data capture and streaming pipelines, orchestrators that schedule and track dependent tasks, reverse ETL that pushes warehouse data back into business apps, customer event collection, durable workflow engines and data observability. Warehouses store and query the results and BI tools visualise them, so both sit next door rather than here.
Who uses these tools
- Data engineers building ingestion and transformation pipelines
- Analytics engineers maintaining warehouse models
- Marketing ops teams syncing customer data
Capabilities to compare
- Connector coverage and custom connector development
- Batch, streaming and change data capture modes
- Scheduling, dependencies, retries and backfills
- Lineage, freshness and schema change alerts
- Reverse sync from warehouse to business tools
Operating considerations
- Pricing by rows or volume moved grows quickly
- Credentials for many source systems in one place
- Personal data flowing into third-party destinations
- Connector quality varies between maintained and community ones
Selection checklist
- List your top ten sources and destinations and confirm each connector is actively maintained, not merely listed.
- Model monthly cost using your real row counts or data volume, including historical backfills.
- Test how the tool handles a schema change in a source table without breaking downstream jobs.
- Check that failures raise alerts with enough context for an on-call engineer to act.
What belongs in this category: A product belongs here when it extracts, loads, streams, syncs or orchestrates data flows between systems, or monitors those flows, rather than primarily storing the data or presenting it in dashboards.
Data Engineering & Orchestration on iThub in figures
iThub lists 13 tools in Data Engineering & Orchestration. 6 of 13 are open source, 7 of 13 can be self-hosted, 10 of 13 have a free, freemium or open-source pricing model and 12 of 13 offer an API.
- Tools listed
- 13
- Open source
- 6
- Self-hostable
- 7
- Free to start
- 10
- With an API
- 12
- Web app
- 5
- Desktop app
- 3
Typical use cases
- Loading SaaS application data into a central warehouse
- Replicating database changes in near real time
- Scheduling dependent transformation jobs with automatic retries
- Pushing warehouse audiences into CRM and ad platforms
Trade-offs to model
- Managed connector services save engineering time, while open source ingestion keeps costs flat but leaves connector maintenance to you.
- Task-based orchestrators fit general job scheduling, whereas asset-based orchestration ties every run to the tables it produces.
Common mistakes
- Treating pipeline failures as silent background noise until a broken dashboard reaches leadership.
- Syncing every column from every source by default, inflating volume-based bills and copying sensitive data unnecessarily.
Compare Airbyte and Fivetran →Browse open source ETL tools →Data warehousing and lakehouse →
Decision resources
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Comparisons
Airbyte vs Fivetran →0 tools selectedCompare selected