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DBMS > CrateDB vs. EJDB vs. Manticore Search vs. YTsaurus

System Properties Comparison CrateDB vs. EJDB vs. Manticore Search vs. YTsaurus

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonEJDB  Xexclude from comparisonManticore Search  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionDistributed Database based on LuceneEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Multi-storage database for search, including full-text search.YTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document storeSearch engineDocument store
Key-value store
Secondary database modelsRelational DBMSTime Series DBMS infousing the Manticore Columnar Library
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
Score0.27
Rank#297  Overall
#44  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitecratedb.comgithub.com/­Softmotions/­ejdbmanticoresearch.comytsaurus.tech
Technical documentationcratedb.com/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdmanual.manticoresearch.comytsaurus.tech/­docs/­en
DeveloperCrateSoftmotionsManticore SoftwareYandex
Initial release2013201220172023
Current release6.0, February 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoGPLv2Open Source infoGPL version 2Open Source infoApache License, Version 2.0
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 languageJavaCC++C++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportserver-lessFreeBSD
Linux
macOS
Windows
Ubuntu
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeFixed schema
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noCan index from XMLno
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoSQL-like query languageYQL, an SQL-based language, is supported
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
in-process shared libraryBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
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
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)nouser defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelnoneSynchronous replication based on Galera libraryyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleno
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 strategynoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlrights management via user accountsnonoAccess Control Lists
More information provided by the system vendor
CrateDBEJDBManticore SearchYTsaurus
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
CrateDBEJDBManticore SearchYTsaurus
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