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DBMS > Cachelot.io vs. CrateDB vs. LevelDB vs. SWC-DB vs. Yanza

System Properties Comparison Cachelot.io vs. CrateDB vs. LevelDB vs. SWC-DB vs. Yanza

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonCrateDB  Xexclude from comparisonLevelDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIn-memory caching systemDistributed Database based on LuceneEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high performance, scalable Wide Column DBMSTime Series DBMS for IoT Applications
Primary database modelKey-value storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value storeWide column storeTime Series DBMS
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitecachelot.iocratedb.comgithub.com/­google/­leveldbgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
yanza.com
Technical documentationcratedb.com/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperCrateGoogleAlex KashirinYanza
Initial release20152013201120202015
Current release1.23, February 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen SourceOpen Source infoBSDOpen Source infoGPL V3commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
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 languageC++JavaC++C++
Server operating systemsFreeBSD
Linux
OS X
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportIllumos
Linux
OS X
Windows
LinuxWindows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnono
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.nonononono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilitynoSQL-like query languageno
APIs and other access methodsMemcached protocolADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Proprietary protocol
Thrift
HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.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
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++any language that supports HTTP calls
Server-side scripts infoStored proceduresnouser defined functions (Javascript)nonono
Triggersnonononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-levelnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategynono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnorights management via user accountsnono
More information provided by the system vendor
Cachelot.ioCrateDBLevelDBSWC-DB infoSuper Wide Column DatabaseYanza
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
Cachelot.ioCrateDBLevelDBSWC-DB infoSuper Wide Column DatabaseYanza
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