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DBMS > CrateDB vs. Manticore Search vs. Microsoft Azure SQL Database vs. TimescaleDB

System Properties Comparison CrateDB vs. Manticore Search vs. Microsoft Azure SQL Database vs. TimescaleDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDistributed Database based on LuceneMulti-storage database for search, including full-text search.Database as a Service offering with high compatibility to Microsoft SQL ServerA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Search engineRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMSTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitecratedb.commanticoresearch.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.timescale.com
Technical documentationcratedb.com/­docsmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.timescale.com
DeveloperCrateManticore SoftwareMicrosoftTimescale
Initial release2013201720102017
Current release5.8.1, August 20246.0, February 2023V122.15.0, May 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportFreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)Fixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 XMLyesyes
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query languageyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions (Javascript)user defined functionsTransact SQLuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSynchronous replication based on Galera libraryyes, with always 3 replicas availableSource-replica replication with hot standby and reads on replicas info
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 integritynonoyesyes
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 strategyyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlrights management via user accountsnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
CrateDBManticore SearchMicrosoft Azure SQL Database infoformerly SQL AzureTimescaleDB
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