Kyligence vs Synmetrix
Kyligence
kyligence.ioSynmetrix
synmetrix.orgSide by side
| Figure | Kyligence | Synmetrix |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Semantic Layer Software | 8.0 (#13) | 8.4 (#8) |
| Deployment | Kyligence Cloud can be deployed through its portal, cloud templates, or the Azure and AWS Marketplaces. | Synmetrix is described as self-hosted and can be deployed using Docker Compose with a Postgres database. |
| Integrations | Kyligence's semantic layer supports Excel, Power BI, Tableau, and MicroStrategy. | The maker says Synmetrix connects to more than 50 data sources and can integrate with any BI tool. |
| Intended users | Kyligence describes its platform as serving organizations across financial services, manufacturing, and retail. | The maker presents Synmetrix for data engineers, developers, analysts, decision makers, and enterprises. |
| Security | The security page describes end-to-end encryption, row- and column-level permissions, and data backup and recovery. | The site describes upstream data access controls for uniform security and governance, and lists role-based access control. |
| Support | The cloud deployment page offers a product tour with a Kyligence expert and links to a QuickStart guide. | The project lists its documentation, Slack community, and GitHub for help, discussion, and bug reports. |
| What it does | Kyligence Zen is a metrics platform for defining, managing, and analyzing business metrics across an organization. | Synmetrix is an open-source data engineering platform and semantic layer for centrally modeling, integrating, transforming, aggregating, and distributing metrics. |
Plans
In their own words
Kyligence
Kyligence helps organizations define, govern, and analyze business metrics through a shared catalog and semantic layer. Kyligence Zen provides a place to manage metrics for use in downstream BI tools and applications, while Kyligence Copilot lets users ask questions about metrics in natural language, analyze them, and receive recommendations. For multidimensional analysis, Kyligence Enterprise returns standard SQL query responses on petabyte-scale data lakes. The platform also lists SQL, MDX, and REST API interfaces, and connects with tools such as Excel, Power BI, Tableau, MicroStrategy, and Cognos. Supported data connectors include Impala, Oracle, Greenplum, GBase, MySQL, Snowflake, and Azure Synapse. Deployment options include cloud and on-premises, described as a hybrid model; listed cloud platforms include AWS, Microsoft Azure, Huawei Cloud, and Google Cloud. Security measures include end-to-end encryption, row- and column-level controls, backups, and recovery mechanisms. Kyligence lists SOC 2 Type 1, ISO 27001, and ISO 9001 certifications. Pricing is on request, and a free trial is offered; trial terms may limit use to internal evaluation in a non-production environment for up to 30 days unless otherwise specified in writing.
Synmetrix
Synmetrix is an open-source data engineering platform and semantic layer for defining and sharing organizational metrics from a central model. It uses Cube data models to define metrics and dimensions, then applies transformations and aggregations so applications can use consistent definitions. The maker says it connects to more than 50 data sources and can integrate with any BI tool. Users can explore metrics in its interface or distribute the model through a SQL API to BI tools, dashboards, reports and data science consumers. Model versioning and branching track changes, while query logs, caching and pre-aggregations support data workflows. Role-based access controls govern access to models and metrics; the project also describes upstream data controls for shared security and governance. Synmetrix supports scheduled reports and configurable alerts, with reports deliverable by email, Slack or webhooks. The core is Apache License 2.0 and the platform is intended for self-hosted, including on-premise, deployment. Setup uses Docker and Docker Compose with PostgreSQL. Listed hardware requirements are a 3.2 GHz or faster processor, at least 8 GB RAM and at least 30 GB free disk space.