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DBMS > EJDB vs. Fauna vs. HyperSQL vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics

System Properties Comparison EJDB vs. Fauna vs. HyperSQL vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDistributed Event Store optimized for Internet of Things use casesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbfauna.comhsqldb.orgwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­synapse-analytics
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.fauna.comhsqldb.org/­web/­hsqlDocsFrame.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftmotionsFauna, Inc.IBMMicrosoft
Initial release20122014200120172016
Current release2.7.2, June 20232.0
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infobased on BSD licensecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaJavaC and C++C++
Server operating systemsserver-lesshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux infoLinux, macOS, Windows for the developer additionhosted
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyesyesyes
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 indexesnoyesyesnoyes
SQL infoSupport of SQLnonoyesyes infothrough the embedded Spark runtimeyes
APIs and other access methodsin-process shared libraryRESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
All languages supporting JDBC/ODBC
Java
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresnouser defined functionsJava, SQLyesTransact SQL
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnoneActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write LockingyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoIdentity management, authentication, and access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
EJDBFauna infopreviously named FaunaDBHyperSQL infoalso known as HSQLDBIBM Db2 Event StoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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