Apache Pinot vs Exasol
Apache Pinot
pinot.apache.org
Exasol
exasol.comSide by side
| Figure | Apache Pinot | Exasol |
|---|---|---|
| Price from | Free | $3.30/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 18 |
| Spec score · Analytical Data Store Software | 8.2 (#9) | 9.1 (#3) |
| Spec score · Analytics Data | 8.2 (#10) | 9.2 (#1) |
| Spec score · OLAP Databases | 8.1 (#10) | 9.1 (#2) |
| Spec score · OLAP Software | 8.2 (#11) | 9.1 (#2) |
| Spec score · Analytics Databases | 8.2 (#11) | 9.2 (#1) |
| Spec score · Columnar Databases | 8.2 (#10) | 9.1 (#5) |
| Spec score · Big Data Analytics Software | 8.1 (#12) | 9.0 (#3) |
| Spec score · Database Software | 7.8 (#56) | 9.0 (#9) |
| Deployment | The official quick install supports Docker and Kubernetes with Helm. | Exasol lists on-premises, hybrid, and fully managed SaaS deployment options; on-premises environments can include air-gapped setups. |
| Founded | 2013 | 2000 |
| Support | The project provides Slack, mailing lists, GitHub Issues, and community meetups for questions and discussion. | Exasol’s support page lists 24/7 incident troubleshooting and monitoring, plus performance analysis, maintenance, and planning assistance. |
Plans
Exasol
- XS$3.30 a month
- S$6.60 a month
- M$13.20 a month
- L$26.40 a month
- XL$52.80 a month
- 2XL$105.60 a month
- 3XL$158.40 a month
- Storage$25 a month
- Exasol Community EditionFree
- Exasol PersonalFree
In their own words
Apache Pinot
Apache Pinot is a free, open-source distributed OLAP datastore for real-time analytics and user-facing workloads. It ingests streaming data from Apache Kafka, Apache Pulsar, and AWS Kinesis, plus batch data from Hadoop, Spark, Amazon S3, Azure ADLS, and Google Cloud Storage. Streaming and batch sources can be combined into one queryable table. Pinot provides SQL through a query editor and REST API, with JDBC, Java, Python, and Golang clients for applications. Project materials advertise P90 query latency in the tens of milliseconds on petabyte-scale data and capacity for hundreds of thousands of concurrent queries per second. Logical namespaces provide multitenancy. Security features include HTTP Basic Authentication, ACLs, TLS, mutual TLS, and row-level security filters in version 1.4.0 and later. Superset, Tableau, and Power BI can connect as BI tools. Official installation guidance covers Docker and Kubernetes with Helm. The self-hosted plan is listed at free.
Exasol
Exasol is a database for analytics and high-concurrency AI workloads, available in cloud, on-premises, hybrid, and fully managed SaaS deployments. The company says teams can analyze billions of rows in seconds and that automatic self-indexing helps tune performance. SaaS includes five databases, multi-cluster support, basic UDF support, advanced in-database analytics, and data virtualization. Teams can scale vertically or add clusters with dedicated compute for work such as data ingest or machine learning. The 30-day SaaS trial includes $200 of usage and requires no credit card. Pay-as-you-go compute is billed hourly; XS is $3.30 a month and S is $6.60 a month, while storage is listed separately at $25 a month. Free options include Exasol Personal, licensed for a single user and up to two connected data sources, and Community Edition, limited to 200GB of data. Exasol lists integrations including Airbyte, Alation, Amazon QuickSight, Apache Airflow, and Apache Superset. Its documentation covers multiple authentication methods and TLS encryption for database connections; encryption at rest must be configured on the supplied file systems and devices.