Artie

Artie is a data replication platform that streams database changes captured through change data capture (CDC) or events sent through its API to other destinations. It describes delivery as sub-minute and exactly once. Automatic schema handling applies column additions, removals, and type changes without pipeline restarts or manual DDL. History mode records row versions over time in the destination, creating an audit trail. A dashboard tracks pipeline health, throughput, latency, and errors, with Datadog and Grafana integrations. Listed sources include PostgreSQL, MySQL, MongoDB, DynamoDB, Oracle, and SQL Server; destinations include Snowflake, BigQuery, Redshift, Databricks, and S3. Column-level inclusion, exclusion, encryption, and hashing are available for data controls. Artie says it encrypts data in transit and at rest, does not retain data after processing, and lists SOC 2 Type II coverage. Free access covers up to 1M billable rows per month and two active pipelines. Growth starts at $500/mo with annual billing; Enterprise pricing is custom.

Artie combines replication, schema handling, history, and monitoring in one data platform. The free tier has row and pipeline limits, while larger deployments and support options vary by plan.

The free tier is aimed at teams starting out or running small pipelines. Growth and Enterprise are presented for growing teams and larger organizations needing governance, deployment, or compliance options.

Artie is a data replication platform for teams that need database changes or API events delivered to destination systems in near real time. It is best suited to teams moving data one way into analytical or operational stores, especially when schema changes and row history matter. The strongest reasons to choose it are automatic schema handling and built-in history; the Free plan’s tight quotas and Growth’s usage-based cost shape who can use it comfortably.

Overview

Artie captures database changes through change data capture (CDC) or accepts events through an API, then replicates them to destinations. It describes delivery as exactly once with sub-minute latency, a useful fit when destination data should stay current without frequent batch loads. Replication is one way, so it does not serve teams that need to keep two databases synchronized in both directions.

Its source coverage spans PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, MongoDB, DocumentDB, CockroachDB, DynamoDB, Amazon Keyspaces, PlanetScale, Supabase, Aurora/RDS, and Cloud SQL. Destinations include Snowflake, BigQuery, Redshift, Databricks, and S3. The breadth makes Artie a plausible bridge from varied databases into common analytics platforms, though the direction remains source to destination.

Key features

Schema changes and row history

Artie detects column additions, drops, and type changes and applies them without restarting pipelines or requiring manual DDL. That can reduce routine intervention for teams whose source schemas evolve while replication continues. History mode uses SCD Type 2 to retain row versions in the destination, which is useful for audit trails and analysis of past states; teams that only need current values may not need this additional history.

Monitoring and data controls

The dashboard tracks pipeline health, throughput, latency, and errors, and Artie integrates with Datadog and Grafana. These signals help operators follow replication alongside other systems. Column-level inclusion, exclusion, encryption, and hashing provide ways to limit or protect sensitive fields in transit.

Artie says it encrypts data in transit and at rest, does not retain data after processing, and has SOC 2 Type II coverage. Enterprise customers can deploy the data plane in their own cloud account or on-premise; BYOC also runs within the customer’s cloud account. Those deployment choices matter to organizations with specific governance or compliance needs, while smaller teams may find Free or Growth a closer fit.

Pricing

Artie has a Free plan at no cost. It includes up to 1M billable rows per month, up to two active pipelines, backfills, Slack Community support, and SOC 2 Type II. That is a practical starting point for small pipelines, but the row quota and pipeline cap make it a poor fit once either grows beyond those limits.

Growth starts at $500 a month with annual billing, billed $6,000 annually; month-to-month billing is $600/month. It includes unlimited active pipelines, volume-based billing by billable rows, and a 14-day Growth trial. PrivateLink costs $500/month per connection. Growth removes the Free plan’s pipeline ceiling, but usage-based billing means row volume still affects cost, and PrivateLink adds a distinct per-connection charge.

Enterprise has custom pricing and includes Growth features, BYOC and on-premise deployments, unlimited PrivateLink, uptime guarantees, 24/7 support, and white-glove onboarding. It is aimed at large organizations that need deployment flexibility and service commitments; teams without those requirements may not need the Enterprise package.

Platforms

Artie is available through API and web access, with self-hosted deployment options. Enterprise customers can run its data plane in their own cloud account or on-premise. Data transformations are supported, though the platform is designed for one-way replication.

Who it's for

Artie fits teams starting with modest replication workloads, growing teams that need more pipelines, and larger organizations that require customer-controlled deployment or stronger support. It is particularly compelling when automatic schema evolution or a destination-side history of row versions solves a real operational need. Teams that require two-way database synchronization, or whose volume makes Growth’s row-based billing unattractive, should compare other tools.

Pros and cons

• Pros: Automatic handling of column changes avoids pipeline restarts and manual DDL as schemas evolve.
• Pros: SCD Type 2 history preserves row versions at the destination for audit and past-state analysis.
• Pros: Column-level controls, encryption and hashing support protection of sensitive fields.
• Pros: Free includes backfills and SOC 2 Type II coverage, with a 1M-row monthly allowance for small workloads.
• Cons: Free allows only two active pipelines and 1M billable rows per month, limiting expansion.
• Cons: Growth uses volume-based billing, and month-to-month costs $600/month versus $500/month with annual billing.
• Cons: Replication runs one way, so teams needing bidirectional synchronization must look elsewhere.

Alternatives

Consider SymmetricDS if its free Community plan and broad platform availability better match your deployment needs. DBConvert Streams is another freemium option if its free plan’s IDE, browser viewers, editor extensions, federated queries over two sources, and five daily AI questions suit the work. For a paid alternative with a free Developer plan capped at two connectors, 10,000 records, and three objects, compare DBSync.

Debezium is a free, Apache License 2.0 distributed change data capture platform. dsync offers a free forever open-source plan for small projects and testing, with best-effort support and a commercial support add-on. Google Cloud Datastream has a free tier with 100 GiB of CDC data per month per billing account. NineData offers a free Community plan with on-premise deployment, up to 10 data sources, and up to 10 replication tasks. PeerDB has a free open-source plan for individuals with Docker setup, CDC, streaming query, and query layer features.

Browse more options in Database Replication Software and Data Replication Software.

Verdict

Choose Artie if you need one-way, low-latency replication with automatic schema handling, destination-side row history, and controls for sensitive columns. Its Free plan gives small workloads a defined starting point, while Growth removes the pipeline cap at a substantial annual or monthly price and keeps billing tied to volume. Look elsewhere if you need bidirectional synchronization or cannot accommodate Growth’s usage-based charges.