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DBMS > CrateDB vs. Microsoft Azure Synapse Analytics vs. SAP SQL Anywhere vs. Sequoiadb

System Properties Comparison CrateDB vs. Microsoft Azure Synapse Analytics vs. SAP SQL Anywhere vs. Sequoiadb

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionDistributed Database based on LuceneElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitecratedb.comazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.sequoiadb.com
Technical documentationcratedb.com/­docsdocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­docs/­SAP_SQL_Anywherewww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperCrateMicrosoftSAP infoformerly SybaseSequoiadb Ltd.
Initial release2013201619922013
Current release17, July 2015
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supporthostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesyesSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
proprietary protocol using JSON
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
C#
Java
PHP
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)Transact SQLyes, in C/C++, Java, .Net or PerlJavaScript
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyesSource-replica replication infoDatabase mirroringSource-replica replication
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
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 strategyACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlrights management via user accountsyesfine grained access rights according to SQL-standardsimple password-based access control

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More resources
CrateDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSequoiadb
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