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DBMS > Microsoft Azure Synapse Analytics vs. Oracle Berkeley DB vs. SAP SQL Anywhere vs. SpaceTime vs. TimesTen

System Properties Comparison Microsoft Azure Synapse Analytics vs. Oracle Berkeley DB vs. SAP SQL Anywhere vs. SpaceTime vs. TimesTen

Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpaceTime  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used in-process key-value storeRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpaceTime is a spatio-temporal DBMS with a focus on performance.In-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.mireo.com/­spacetimewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.oracle.com/­database/­timesten-18.1
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleSAP infoformerly SybaseMireoOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20161994199220201998
Current release18.1.40, May 202017, July 201511 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.noyes infoonly with the Berkeley DB XML editionyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availableyesA subset of ANSI SQL is implementedyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Java
PHP
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresTransact SQLnoyes, in C/C++, Java, .Net or PerlnoPL/SQL
Triggersnoyes infoonly for the SQL APIyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonenoneFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication infoDatabase mirroringReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOracle Berkeley DBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpaceTimeTimesTen
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