Apache Spark vs Tinybird Cloud
Apache Spark
spark.apache.org
Tinybird Cloud
tinybird.coSide by side
| Figure | Apache Spark | Tinybird Cloud |
|---|---|---|
| Price from | Free | $49/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 4 |
| Spec score · Streaming Analytics Software | 8.1 (#5) | 7.5 (#18) |
| Spec score · Stream Analytics Software | 8.2 (#7) | 7.5 (#19) |
| Integrations | The listed ecosystem includes pandas, TensorFlow, PyTorch, scikit-learn, Apache Kafka, Kubernetes, Delta Lake, and Apache Iceberg. | Tinybird lists Kafka, Confluent, Redpanda, S3, GCS, PostgreSQL, MySQL, and Apache Iceberg among its supported ingestion methods and integrations. |
| Security | Security features such as authentication are not enabled by default, and the documentation says deployments are not secure by default. | Tinybird states that all connections require TLS 1.2 or later, database services support client certificate verification, and critical internal traffic uses mutual TLS. |
| Support | The project directs users to mailing lists and community resources for help. | The pricing page lists community support for Free, standard support for Developer, and standard or Premier support for SaaS and Enterprise. |
Plans
Tinybird Cloud
- FreeFree
- Developer$49 a month
- EnterprisePriced on request
- SaaSPriced on request
In their own words
Apache Spark
Apache Spark is a free, open-source engine for large-scale data analytics. It processes batches and real-time streams using Python, SQL, Scala, Java, or R. Spark SQL runs distributed ANSI SQL queries on structured tables and unstructured data such as JSON or images; MLlib provides machine-learning algorithms for local use or cluster scale. The project also describes exploratory analysis on petabyte-scale data without downsampling. Listed ecosystem components include pandas, TensorFlow, PyTorch, scikit-learn, Apache Kafka, Kubernetes, Delta Lake, and Apache Iceberg. Deployment options include standalone, Hadoop YARN, and Kubernetes. Spark runs on Windows and UNIX-like systems, including Linux and macOS, when a supported Java version is available. The 4.2.0 documentation lists Java 17, 21, or 25, Scala 2.13, Python 3.10+, and R 4.0+ (deprecated). Spark Connect separates client applications from clusters for remote access. Security is not enabled by default; Spark supports TLS for RPC connections and encryption of temporary local-disk data. The project is licensed under Apache License, Version 2.0.
Tinybird Cloud
Tinybird Cloud is a managed real-time data platform for building analytics features and serving data through APIs. It runs managed ClickHouse with automatic version upgrades, autoscaling, and vertically scalable clusters; Enterprise also lists horizontal scaling and cluster management. Data can arrive over HTTP, Kafka, S3, GCS, or local files, with buffering, compaction, schema detection, and retries. SQL queries can become secure APIs, and the native ClickHouse HTTP interface is supported. Listed integrations include Confluent, Redpanda, PostgreSQL, MySQL, and Apache Iceberg. Developers can use the Tinybird CLI, TypeScript SDK, or Python SDK, with local development, branches, and CI/CD integration. The Free plan includes 0.25 vCPUs, one thread per request, 1,000 requests per day, 10GB storage, and community support. The Developer plan costs $49 a month and includes 0.5 vCPUs and 25GB storage. Tinybird lists paid pricing from $25/mo; SaaS and Enterprise pricing is custom. It states GDPR, SOC 2 Type 2, and HIPAA compliance, TLS 1.2-or-later connections, encryption at rest, and daily backups with two-day retention.