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DBMS > CockroachDB vs. CrateDB vs. etcd

System Properties Comparison CockroachDB vs. CrateDB vs. etcd

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonCrateDB  Xexclude from comparisonetcd  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Distributed Database based on LuceneA distributed reliable key-value store
Primary database modelRelational DBMSDocument store
Time Series DBMS
Key-value store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.53
Rank#64  Overall
#36  Relational DBMS
Score0.93
Rank#224  Overall
#34  Document stores
#17  Time Series DBMS
Score8.63
Rank#51  Overall
#5  Key-value stores
Websitewww.cockroachlabs.comcrate.ioetcd.io
github.com/­etcd-io/­etcd
Technical documentationwww.cockroachlabs.com/­docscrate.io/­-docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
DeveloperCockroach LabsCrate
Initial release20152013
Current release21.1.2, June 20213.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen SourceOpen Source infoApache Version 2.0
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.
CockroachDB: A cloud-native, distributed SQL database designed for speed, scale, and survival. Get started for free today with a fully-managed CockroachDB cluster -- leave operations behind and get your app to market faster.CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageGoJavaGo
Server operating systemsLinux
macOS
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportFreeBSD
Linux
Windows infoexperimental
Data schemedynamic schemaFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLyes, but no triggers and constraints, and PostgreSQL compatibilityno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC
JSON over HTTP
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Server-side scripts infoStored proceduresnouser defined functions (Javascript)no
Triggersnonoyes, watching key changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTConfigurable replication on table/partition-levelUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyno
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.nonono
User concepts infoAccess controlRole-based access controlrights management via user accountsno
More information provided by the system vendor
CockroachDBCrateDBetcd
Specific characteristicsCockroachDB is a cloud-native, distributed SQL database architected for modern applications....
» more
CrateDB is an open-source distributed SQL database that spreads data and processing...
» more
Competitive advantages- EFFORTLESS SCALE: Scale your applications, not operational complexity. CockroachDB...
» more
CrateDB is typically used in operational analytics applications. In those scenarios,...
» more
Typical application scenariosSystem of record (financial ledger, inventory management, transaction record), identity...
» more
CrateDB is ideal for integrating and analyzing streams of data in order to monitor,...
» more
Key customersComcast, DoorDash, Mythical Games, Norfolk Southern, LUSH, Bose, Shipt, Bitski, Five9,...
» more
CrateDB customers include Bitmovin , ALPLA , Gantner Instruments , SPGo! , TGW Logistics...
» more
Market metrics8K+ long-running clusters 25K+ CockroachDB self-hosted clusters 75K+ CockroachDB...
» more
The CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing models- Apache 2.0 for core features released up to and including the 19.1 release - Time-limited...
» more
CrateDB Cloud The efficiency & range of CrateDB in the Cloud CrateDB Edge brings...
» more

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More resources
CockroachDBCrateDBetcd
Conferences and events

How O-CELL real-time monitoring solution helps to reduce the environmental impact of infrastructures with CrateDB
Webinar with Q&A; 5:00 pm - 5:45 pm CET, 5 April 2023

Learn simple No-Code Data Import and Visualization with CrateDB Cloud
Live Demo with Q&A; 4:00 pm - 4:30 pm CET, 27 April 2023

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