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Sulisa

Freemium
data lakehousedata ostrinoapache icebergdbtsqldata engineeringbusiness intelligenceetldata analytics

Sulisa is an enterprise-grade Data OS that enables organizations to rapidly build and manage open data lakehouses using leading open-source technologies like Trino, Iceberg, and dbt Core, avoiding vendor lock-in.


Sulisa offers a fully-managed data platform designed to help enterprises construct and operate an open data lakehouse with remarkable speed. It primarily serves data teams, including engineers and analysts, who want to leverage the power of best-in-class open-source tools without the associated operational overhead. The platform's core value lies in its integration of Trino, Apache Iceberg, and dbt Core, providing a cohesive environment for data querying, storage, and transformation. By abstracting the complexity of infrastructure management, Sulisa allows organizations to focus on deriving insights while maintaining data ownership and avoiding proprietary lock-in. It further enhances this ecosystem with built-in governance, security features, and a universal semantic layer for consistent business logic.

Pros

  • Built on an open-source foundation (Trino, Iceberg, dbt) to prevent vendor lock-in.
  • Fully-managed service reduces engineering effort and time-to-value for setting up a data lakehouse.
  • Integrates query, storage, transformation, and governance into a single cohesive platform.
  • Allows companies to maintain data ownership by operating on their own cloud storage.
  • Offers a free starter tier for individuals and small teams to evaluate the platform.

Cons

  • As a relatively new platform, it lacks the long-term track record of players like Databricks or Snowflake.
  • Pricing for paid tiers is opaque and requires contacting sales, which complicates evaluation.
  • The integration ecosystem and community support may be less mature than established competitors.
  • Focus on a specific tech stack may not suit teams already invested in alternatives like Apache Spark.

Key features

  • Managed Trino query engine for high-performance SQL.
  • Managed Apache Iceberg for data lake table format management.
  • Integrated dbt Core for data transformation and modeling.
  • Universal Semantic Layer for consistent business metrics.
  • Centralized metadata and access control for data governance.
  • Web-based IDE with SQL editor and data catalog.
  • Connectors for various data sources like databases, warehouses, and SaaS applications.

Integrations

AWS S3SalesforceGoogle AdsMongoDBPostgreSQLMySQLSnowflakeTableauPower BILooker Studio

Target audience

Data engineers, data analysts, data scientists, and analytics leaders within mid-to-large enterprises seeking to build a modern, open-source data stack without the operational burden.


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Founded

2022

Headquarters

New York, USA

Pricing Tiers

Starter

For individuals and teams getting started. Includes 2 users, community support, shared compute, and up to 5 data sources.

Free

Professional

For growing teams that need more power and support. Includes everything in Starter, plus a dedicated compute cluster, unlimited users, unlimited data sources, and standard support.

Contact us

Enterprise

For large organizations with advanced security and compliance needs. Includes everything in Professional, plus custom compute configurations, VPC peering, SSO/SAML, and premium support.

Contact us


Frequently Asked Questions


Top Alternatives to Sulisa

Databricks

A leading unified analytics platform chosen by teams who prefer a mature, Spark-based ecosystem with extensive AI and ML capabilities.

Snowflake

A popular cloud data platform known for its ease of use and separation of storage and compute, often selected for traditional data warehousing use cases.

Starburst

An analytics platform based on Trino that excels at federated queries, making it a strong choice for organizations needing to query data across many distributed systems.

Tabular

A data platform from the creators of Apache Iceberg, representing a direct alternative for those who want a managed Iceberg service from its originators.

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