An ETL tool refers to a platform that can ingest data from many sources, transform it into a form that is ready to be analyzed, and load it into a warehouse or other destination. This definition excludes simple point-to-point integrations or simple automation tools that do not provide any kind of transformation.
Since 2020, this category has exploded in size as new vendors have emerged, often selling themselves on “no-code” simplicity and enterprise-grade capabilities. Very few actually deliver both. In this report, we compare 7 modern ETL platforms that meet the criteria for being considered no-code yet still have the advanced features needed by enterprises. We tested each on: Ease of use (no-code/low-code). Number of available connectors (must exceed 200 sources). Real-time sync and CDC (change data capture). Enterprise-level compliance and scalability. Reverse ETL (data activation). Our testing measured bidirectional sync latency, transformation flexibility, and whether free tiers allowed you to fully evaluate the platform. Here are our findings.
Some tools excel at real-time sync but lack deep SQL transformation capabilities. Others can handle petabyte-scale loads but are too complex for non-technical users.
How to choose the right ETL tools
Your data stack grows fast. Pick a platform that scales with you, not one you’ll outgrow in six months.
- No-code or low-code ease of use — Try it out with your real team. If the non-tech users aren’t able to build out a full pipeline within 10 minutes, then you’re going to be bottlenecked on engineering for a long time.
- Connector breadth (200+ sources) — Account for the number of pre-built connectors FOR your existing stack AND THREE future integrations. Building custom APIs takes weeks.
- Real-time sync and CDC capability — Ask vendors for latency numbers under load. Sync needs to be sub-second for operational purposes; batch once per hour is not good enough.
- Enterprise compliance and scale — Check their SOC 2, HIPAA, and/or GDPR credentials to make sure they align with your business needs. Ask for a petabyte customer reference if you have significant storage volumes.
- Reverse ETL and data activation — Does the platform send back enriched information to your existing CRMs or marketing platforms? If not, you’re losing half your data’s potential value.
- Pricing transparency — Avoid quote-only models unless you’re enterprise-sized. You need something where published tiers list a max number of rows or connectors, which will help you estimate your costs.
Top 7 ETL tools
These tools were chosen based on no-code flexibility, a connector catalog larger than 200, and real-time data sync capabilities. Each offers the right balance of usability, enterprise-level security and compliance, and scalability.
These seven tools get past the noise and explain what they really offer in terms of reverse ETL, change data capture, and data activation.
1. Skyvia
Skyvia is a no-code cloud data integration platform founded in 2014. It covers ETL and ELT, data replication, migration, Reverse ETL, workflow orchestration, and one-way and two-way synchronization. More than 200 pre-built connectors cover SaaS applications, databases, and major cloud data warehouses.
The platform is built for teams that want to set up and maintain data pipelines without making every integration an engineering task. Visual tools handle straightforward workflows, while warehouse-side transformations can use native SQL or hosted dbt Core. Incremental loading, automatic schema drift handling, execution logs, and email alerts help reduce routine pipeline maintenance.
Skyvia uses volume-based pricing rather than charging per connector or user seat. Unlimited users are included on every plan; there are no per-connector fees, and a free tier is available without a credit card. More than 2,000 paying customers across 120+ countries use the platform, including Hyundai, Panasonic, GE, and Médecins Sans Frontières. Skyvia moves over 10 billion records per month.
- 200+ pre-built connectors for SaaS apps, databases, and data warehouses;
- ETL/ELT, replication, Reverse ETL, orchestration, and operational sync;
- Native warehouse SQL and hosted dbt Core for transformations;
- Volume-based pricing with unlimited users and no per-connector fees;
- SOC 2 Type II and GDPR compliant.
2. Stacksync
Stacksync offers real-time bidirectional data syncing across CRMs, ERPs, Databases, Data Warehouses, and 1,000+ business apps. Instead of relying on a patchwork of MuleSoft, Fivetran, Kafka, and Zapier, Stacksync replaces these integrations.
Founded in 2023, it’s the newest entrant with 3 years in the market, but it holds all the major enterprise certifications like SOC 2, HIPAA, GDPR, ISO 27001, and CCPA. Stacksync manages data syncing, workflow automation, event queues, and EDI on a unified, real-time infrastructure. This helps your team eliminate operational overhead while managing complex multi-system processes.
Latency is sub-second, and Stacksync enables bidirectional syncing out of the box. You don’t need additional middleware or polling mechanisms to move data.
The app has a 4.7 rating on G2. Teams are using Stacksync to build end-to-end data workflows on their Data Warehouse.
Starter tier pricing is $1,000/month, while Pro costs $3,000/month. There are also Enterprise plans with customized pricing. There isn’t a free trial available, but you can request a demo.
| Founded | 2023 |
| Best For | Enterprise teams needing real-time bidirectional sync |
| Pricing | Starter $1,000/mo, Pro $3,000/mo, Enterprise custom |
| Compliance | SOC 2, HIPAA, GDPR, ISO 27001, CCPA |
3. Weld Technologies ApS
Weld is a modern ELT platform that helps businesses easily integrate, transform, and sync data. It connects 300+ data sources to centralized cloud data warehouses, allowing businesses to focus on what matters most: their data.
Founded in 2021, 5 years in the market. Weld powers over 150,000 data jobs per day and moves over 30 terabytes of data per day with a 99.9% uptime SLA.
Weld is built for the modern data infrastructure. It delivers pipelines that just work, requiring no maintenance, and can scale from startup analytics to enterprise-grade workloads without custom scripting or DevOps expertise.
Weld includes native dbt integration and reverse ETL, so teams can transform data using a workflow backed by GitHub and sync their insights back to their business tools like Salesforce. Change Data Capture (CDC) keeps warehouses current in near-real-time, while the AI Transform & SQL Editor makes it easier for non-technical users to write queries.
Weld has SOC 2, HIPAA, GDPR, and ISO 27001 certifications for enterprise compliance. A free trial is available to test the product before committing budget.
Weld is backed by Frontline Ventures, Cherry Ventures, and Innovation Fund Denmark. Weld aims to serve teams looking to replace brittle Python scripts with reliable managed pipelines.
| Founded | 2021 |
| Pricing | $99/mo Basic, $959/mo Business, Custom Enterprise |
| Best For | Teams replacing custom ETL scripts with managed, compliant pipelines |
| Notable Feature | 99.9% uptime SLA handling 30+ TB daily |
4. Etlworks
Etlworks is the enterprise-grade data integration platform with a built-in AI agent, handling petabyte-scale data across ETL, real-time CDC, reverse ETL, file integration, EDI, and custom APIs in one platform.
Founded in 2014, it’s built by engineers who abandoned the multi-tool chaos most enterprises endure. Trusted by Universal Music Group, NBCUniversal, and Staples, the platform runs on-premises and hybrid deployments where cloud-only vendors can’t follow.
The all-in-one approach eliminates vendor sprawl. It ships ETL, ELT, reverse ETL, real-time CDC, EDI processing, and API integration without forcing you to stitch together four separate SaaS subscriptions, and the SOC 2, HIPAA, and GDPR certifications close compliance gaps before auditors ask.
“Our previous vendor, a name you’d recognize, was failing at scale. Etlworks gave us templates, autonomous on-prem agents, and a stable engine in one platform.”
| Founded | 2014 (12 years in market) |
| Best For | Enterprise teams needing petabyte-scale + on-prem flexibility |
| Starting Price | $300/month (Starter), free trial available |
| Compliance | SOC 2, HIPAA, GDPR |
5. Peliqan
Founded in 2022, 4 years in market. Peliqan is a governed data warehouse that combines +300 data sources out of the box. It features an ELT solution and MCP server that allows AI agents to access all of them from a governed endpoint, reading and writing back when possible. It also includes a fully synced copy of your business data to avoid hitting rate limits or writing to your APIs unsafely.
This is great for companies looking to build AI solutions on top of their data and need a clean, governed way of getting to their data. SQL/Python transformation, data quality, lineage, and reverse ETL support are included, plus integration with any BI tool in the market. Plus they have a free tier with all features.
Enterprise-ready with SOC 2, HIPAA, GDPR, and ISO 27001 compliance, and regularly shipped content. Used by Exact Online, Odoo, and Salesforce partners.
- 300+ connectors with built-in ELT pipelines;
- MCP server for AI agent data access;
- Free tier includes full platform features;
- SQL and Python transformation support;
- SOC 2 + ISO 27001 certified.
6. Rivery
Rivery is a fully-managed cloud ELT platform designed for data practitioners who require 200+ pre-built connectors, unlimited users and connections, and Python execution capabilities within their pipelines. It combines data ingestion, transformation, orchestration, reverse ETL, and CDC features into one platform, so you don’t have to assemble multiple products. 5.0/5 on Capterra suggests high ratings, but the number of reviews isn’t specified.
Rivery differentiates itself through its transparent, consumption-based pricing model. The base plan starts at $0.9 per BDU credit, and additional Professional and custom Enterprise tiers are available for larger organizations. Rivery caters to teams between 11 and 50 employees: both SQL and Python transformations are executed natively; built-in version control and CI/CD integrations enable a modern DataOps approach; and an API and CLI make it easy to manage and orchestrate pipelines programmatically. Rivery offers a free trial so you can test it out first.
- 200+ pre-built connectors across SaaS, databases, and cloud storage;
- Unlimited users and connections on all paid tiers;
- Native Python code execution within data flows;
- Built-in CI/CD and version control for DataOps;
- Usage-based pricing starting at $0.9 per BDU credit.
7. Kestra Technologies
Kestra is the open-source orchestration platform for data, AI, and infrastructure workflows, designed for teams that need event-driven orchestration, not just cron jobs, and need to work with any programming language, not just Python.
Kestra was founded in 2021 and has raised $36M in total funding, including a $25M Series A. The company claims to have reached the point of being useful to customers in just 5 years.
Kestra can be deployed on Docker and works with GitOps, which means you don’t need to worry about setting up your own infrastructure.
With Kestra, users can run data pipelines, train models, and automate infrastructure from the same UI. Kestra is SOC 2 and GDPR compliant.
Best for by use case
| Skyvia | ETL/ELT · Data replication · Reverse ETL | Teams looking for broad no-code data integration without per-connector fees or heavy engineering overhead |
| Stacksync | Real-time bidirectional sync · Cross-system processes | Enterprise teams replacing multi-tool stacks (MuleSoft + Fivetran + Kafka) |
| Weld Technologies ApS | Zero-maintenance pipelines · High-volume data movement | Analytics teams running 30+ TB daily workloads |
| Etlworks | Petabyte-scale integration · All-in-one consolidation | Data engineers tired of managing 4+ separate tools |
| Peliqan | AI agent integration · Governed data warehouse | Teams building AI agents that need safe, rate-limit-protected access |
| Rivery | Unlimited users · Python-native transformations | Data professionals needing cost-effective scaling with custom code |
| Kestra Technologies | Event-driven workflows · Language-agnostic orchestration | DevOps and data teams running infrastructure + AI + data pipelines |
Conclusion
No-code tools struggle to scale in enterprise contexts. Enterprise tools require engineering time. Each of the seven platforms in this ranking solves for one or both of these challenges. You can pick one based on what matters most: ease-of-use, latency, or flexibility. Your company can use any of them without sacrificing one for the other.
How do you decide? Identify your top two needs from our list of seven criteria. Start a free trial with the platform that excels at those two. You’ll typically get 14 days to test-drive the platform for free.
