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DBMS > CrateDB vs. etcd vs. eXtremeDB vs. Memcached

System Properties Comparison CrateDB vs. etcd vs. eXtremeDB vs. Memcached

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionDistributed Database based on LuceneA distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringIn-memory key-value store, originally intended for caching
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value storeRelational DBMS
Time Series DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitecratedb.cometcd.io
github.com/­etcd-io/­etcd
www.mcobject.comwww.memcached.org
Technical documentationcratedb.com/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmgithub.com/­memcached/­memcached/­wiki
DeveloperCrateMcObjectDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release201320012003
Current release3.4, August 20198.2, 20211.6.25, March 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 languageJavaGoC and C++C
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 infosupport of XML interfaces available
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoyes infowith the option: eXtremeSQLno
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Proprietary protocol
Supported programming languages.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
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions (Javascript)noyesno
Triggersnoyes, watching key changesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
none infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlrights management via user accountsnoyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
CrateDBetcdeXtremeDBMemcached
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
With hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
For server use cases, there is a simple per-server license irrespective of the number...
» more

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