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FME by Safe VS ClickHouse

Compare FME by Safe VS ClickHouse and see what are their differences

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FME by Safe logo FME by Safe

FME is an integrated collection of Spatial ETL tools for data transformation and data translation.

ClickHouse logo ClickHouse

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
  • FME by Safe Landing page
    Landing page //
    2023-04-25
  • ClickHouse Landing page
    Landing page //
    2019-06-18

FME by Safe features and specs

No features have been listed yet.

ClickHouse features and specs

  • High Performance
    ClickHouse is designed for fast processing of analytical queries, often performing significantly faster than traditional databases due to its columnar storage format and optimized query execution.
  • Scalability
    The system is built to handle extensive datasets by scaling horizontally through distributed cluster configurations, making it suitable for big data applications.
  • Real-time Data Ingestion
    ClickHouse supports real-time data ingestion and can immediately reflect changes in query results, which is valuable for use cases requiring instant data processing and analysis.
  • Cost Efficiency
    The open-source nature of ClickHouse makes it a cost-effective option, especially when compared to other commercial data warehouses.
  • SQL Compatibility
    ClickHouse features strong SQL support, which makes it easier for individuals with SQL expertise to transition and use the platform effectively.
  • Compression
    ClickHouse employs advanced compression algorithms that reduce storage requirements and improve query performance.

Possible disadvantages of ClickHouse

  • Complexity in Setup
    Setting up and managing ClickHouse, particularly in a distributed cluster environment, can be complex and require a higher level of expertise compared to some other database systems.
  • Limited Transaction Support
    ClickHouse is optimized for read-heavy operations and analytics but does not support full ACID transactions, which limits its use for certain transactional use cases.
  • Ecosystem and Tooling
    While the ecosystem is growing, ClickHouse still has fewer tools and third-party integrations compared to more mature databases, which can limit its utility in some environments.
  • Resource Intensive
    Running ClickHouse, especially for large datasets, can be resource-intensive, requiring significant memory and CPU resources.
  • Limited User Management
    The platform has relatively basic user management and security features, which may not meet the needs of enterprises with strict compliance and governance requirements.

Analysis of ClickHouse

Overall verdict

  • ClickHouse is a powerful and capable columnar DBMS that offers excellent performance for analytical workloads. Its open-source nature allows for flexibility and community-driven improvements, making it a strong option for organizations needing a scalable analytics platform.

Why this product is good

  • ClickHouse is considered a good choice for many use cases due to its high performance in processing large volumes of data and its efficiency in executing complex analytical queries. It is designed to work well with large datasets and provides real-time query capabilities, making it ideal for applications like business intelligence, web analytics, and IoT.

Recommended for

  • Large-scale data analysis
  • Real-time analytics dashboards
  • Businesses needing high-speed query performance
  • Web analytics platforms
  • IoT data processing
  • Financial industry for quick data aggregation

FME by Safe videos

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https://engage.safe.com/training/recorded/

ClickHouse videos

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Category Popularity

0-100% (relative to FME by Safe and ClickHouse)

FME by Safe

ClickHouse

Big Data
100 100%
Big Data
0% 0
Databases
8 8%
Databases
92% 92
Relational Databases
5 5%
Relational Databases
95% 95
Data Warehousing
22 22%
Data Warehousing
78% 78

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare FME by Safe and ClickHouse

FME by Safe Reviews

We have no reviews of FME by Safe yet.
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ClickHouse Reviews

Rockset, ClickHouse, Apache Druid, or Apache Pinot? Which is the best database for customer-facing analytics?
‍ClickHouse is an open-source, column-oriented, distributed, and OLAP database that’s very easy to set up and maintain. “Because it’s columnar, it’s the best architectural approach for aggregations and for ‘sort by’ on more than one column. It also means that group by’s are very fast. It’s distributed, replication is asynchronous, and it’s OLAP—which means it’s meant for...
Source: embeddable.com
ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
Source: pradeepchhetri.xyz
20+ MongoDB Alternatives You Should Know About
ClickHouse may be a great contender for moving analytical workloads from MongoDB. Much faster, and with JSON support and Nested Data Structures, it can be great choice for storing and analyzing document data.
Source: www.percona.com

Social recommendations and mentions

Based on our record, ClickHouse seems to be a lot more popular than FME by Safe. While we know about 57 links to ClickHouse, we've tracked only 3 mentions of FME by Safe. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

FME by Safe mentions (3)

  • Where can I learn the basics of FME and ETL in GIS?
    Safe.com has all the resources you could ever imagine. Safe also offers a free at home license. Source: over 2 years ago
  • Best paid ELT tool for a startup
    We have had a lot of success with FME from safe.com. Covers all your reqs. You can get a decent free trail and have a cloud version also. Top of my head its around £800 per licence - alongside there ifra server. We are exploring FME cloud at the moment which will give us a PAYG option. Source: over 2 years ago
  • Everything about Google Chrome’s Latest Update: Version 90
    In the competition for (HTTP:// vs HTTPS://), HTTPS certainly wins as it is a safer navigation option for users. This implies if you visit a website let us say ‘safe.com’ on your browser, Google will load the website as https://safe.com. Here, Google discards the usual http://safe.com completely making the ‘HTTPS’ default. - Source: dev.to / almost 4 years ago

ClickHouse mentions (57)

  • Cross-Compiling Haskell under NixOS with Docker
    I attended the AWS Summit 2025 in Singapore. I enjoyed the event. There were booths from various companies which I found interesting, such as GitLab and ClickHouse. More importantly, I got to meet very interesting people. - Source: dev.to / 6 days ago
  • How to Build a Streaming Deduplication Pipeline with Kafka, GlassFlow, and ClickHouse
    ClickHouse: A fast columnar database. It will be our final destination for clean data. And, for simplicity in this tutorial, we'll cleverly use it as our "memory" or state store to remember which events we've already seen recently. - Source: dev.to / 21 days ago
  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / about 1 month ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    ClickHouse: ClickHouse is an open-source columnar database management system designed for high-performance analytics. It excels at processing large volumes of data and offers real-time querying capabilities. It’s probably the world’s fastest real-time data analytics system: ClickHouse Benchmark. - Source: dev.to / about 2 months ago
  • DeepSeek's Data Breach: A Wake-Up Call for AI Data Security
    Further investigation revealed that these ports provided direct access to a publicly exposed ClickHouse database—entirely unprotected and requiring no authentication. This discovery raised immediate security concerns, as ClickHouse is an open-source, columnar database management system designed for high-speed analytical queries on massive datasets. Originally developed by Yandex, ClickHouse is widely used for... - Source: dev.to / 4 months ago
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What are some alternatives?

When comparing FME by Safe and ClickHouse, you can also consider the following products

Microsoft Azure Data Lake - Azure Data Lake is a real-time data processing and analytics solution that works across platforms and languages.

MySQL - The world's most popular open source database

Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Greenplum Database - Greenplum Database is an open source parallel data warehousing platform.

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

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