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DBMS > FatDB vs. IBM Db2 Event Store vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. SAP IQ

System Properties Comparison FatDB vs. IBM Db2 Event Store vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. SAP IQ

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Distributed Event Store optimized for Internet of Things use casesEmbeddable relational database for web apps written in pure JavaScriptElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerColumnar RDBMS optimized for Big Data analytics
Primary database modelDocument store
Key-value store
Event Store
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS infocolumn-oriented
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.75
Rank#104  Overall
#53  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storegoogle.github.io/­lovefieldazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.html
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­docs/­SAP_IQ
DeveloperFatCloudIBMGoogleMicrosoftSAP, formerly Sybase
Initial release20122017201420161994
Current release2.02.1.12, February 201716.1 SPS04, April 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C and C++JavaScriptC++
Server operating systemsWindowsLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryes infothrough the embedded Spark runtimeSQL-like query language infovia JavaScript builder patternyesyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScriptC#
Java
PHP
C
C#
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsyesnoTransact SQLyes
Triggersyes infovia applicationsnoUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding, horizontal partitioningshared disk or shared nothing architectures with SAP IQ Multiplexer
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationnoneyesSAP/Sybase Replication Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardnoyesfine grained access rights according to SQL-standard

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More resources
FatDBIBM Db2 Event StoreLovefieldMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP IQ infoformer name: Sybase IQ
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