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DBMS > ClickHouse vs. OpenTSDB vs. RocksDB

System Properties Comparison ClickHouse vs. OpenTSDB vs. RocksDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonOpenTSDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Scalable Time Series DBMS based on HBaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSTime Series DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.55
Rank#38  Overall
#23  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Websiteclickhouse.comopentsdb.netrocksdb.org
Technical documentationclickhouse.com/­docsopentsdb.net/­docs/­build/­html/­index.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperClickhouse Inc.currently maintained by Yahoo and other contributorsFacebook, Inc.
Initial release201620112013
Current releasev24.4.1.2088-stable, May 20249.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoLGPLOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
macOS
Linux
Windows
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesnono
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)nono
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HTTP API
Telnet API
C++ API
Java API
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
Erlang
Go
Java
Python
R
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeskey based and customSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.selectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.nono

More information provided by the system vendor

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Related products and services
3rd partiesAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more
Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ClickHouseOpenTSDBRocksDB
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