Apache Pinot vs Timeplus
Apache Pinot
pinot.apache.orgTimeplus
timeplus.comSide by side
| Figure | Apache Pinot | Timeplus |
|---|---|---|
| Price from | Free | $199/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 | 3 |
| Spec score · Streaming Analytics Software | 8.1 (#4) | 7.8 (#13) |
| Spec score · Stream Analytics Software | 8.2 (#6) | 7.8 (#16) |
| Spec score · OLAP Software | 8.2 (#11) | 7.8 (#20) |
| Deployment | The official quick install supports Docker and Kubernetes with Helm. | Timeplus Enterprise can run at the edge, in the cloud, in a BYOC environment, or in hybrid environments, on bare metal or Kubernetes. |
| Purpose | Apache Pinot is a real-time distributed OLAP datastore for low-latency, high-throughput analytics and user-facing workloads. | Timeplus is a vectorized streaming SQL platform for real-time data pipelines used in analytics, telemetry, and AI/ML. |
| Support | The project provides Slack, mailing lists, GitHub Issues, and community meetups for questions and discussion. | The pricing page lists enterprise support within one business day for Cloud and within four hours for self-hosted or BYOC. |
Plans
Timeplus
- Timeplus ProtonFree
- Cloud$199 a month
- Self-Hosted or Full-Managed BYOCPrice not published
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.
Timeplus
Timeplus is a vectorized streaming SQL platform for real-time data pipelines in analytics, telemetry and AI/ML. Its unified engine processes streaming and historical data, using an internal write-ahead log and historical store. Streaming SQL supports streams, views, incremental materialized views, joins, aggregations, enrichment and downsampling. SQL criteria can route data to different sinks, while the console displays lineage for derived streams. Teams can build push-based, low-latency dashboards and set SQL alerts for services such as PagerDuty and Slack. Native connections include Apache Kafka, Apache Pulsar, Redpanda, ClickHouse, Splunk, Elastic, MongoDB, S3 and Apache Iceberg. Other access includes Redpanda Connect, Java, Go and Python SDKs, JDBC/ODBC, WebSockets and REST APIs. Enterprise deployments can run at the edge, in the cloud, BYOC or hybrid environments, on bare metal or Kubernetes. Proton, the open-source core, is available under Apache 2.0. Proton is free; Cloud is $199 a month and has a 14-day trial. Enterprise support is listed within one business day for Cloud and four hours for self-hosted or BYOC.