Apache Parquet vs. Tembo
A side-by-side comparison based on G2 review data.
| Metric | Apache Parquet | Tembo |
|---|---|---|
| Overall rating | 4.3 | 4.7 |
| Review count | 27 | 26 |
| Ease of use | 8.1 | 9.5 |
| Ease of setup | 7.6 | 9.2 |
| Quality of support | 8.3 | 9.2 |
| Meets requirements | 8.7 | 9.5 |
| NPS | 46.153846 | 76.923077 |
| Small Business | 29.6% | 84.6% |
| Mid-Market | 48.1% | 15.4% |
| Enterprise | 22.2% | 0.0% |
| Total page views | 70 | 140 |
| Total LLM citations | 49 | 1,534 |
Apache Parquet
Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.
Tembo
Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted deployment options, Tembo enables everyone – from the smallest startups to the Fortune 500 – to go “all in” on Postgres, achieving unprecedented stability and efficiency across a variety of applications and use cases. With Tembo, customers get all the stability, reliability, and extensibility of Postgres open source with enhanced observability, compliance, and developer experience.
- Ease of Use
- Features
- Integrations
- Easy Setup
- Usability
- Easy Integrations