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DBMS > GBase vs. IBM Db2 Event Store vs. LMDB vs. Microsoft Access vs. Microsoft Azure Synapse Analytics

System Properties Comparison GBase vs. IBM Db2 Event Store vs. LMDB vs. Microsoft Access vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Distributed Event Store optimized for Internet of Things use casesA high performant, light-weight, embedded key-value database libraryMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Key-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.gbase.cnwww.ibm.com/­products/­db2-event-storewww.symas.com/­symas-embedded-database-lmdbwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.lmdb.tech/­docdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­synapse-analytics
DeveloperGeneral Data Technology Co., Ltd.IBMSymasMicrosoftMicrosoft
Initial release20042017201119922016
Current releaseGBase 8a, GBase 8s, GBase 8c2.00.9.32, January 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Sourcecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC and C++CC++C++
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
Unix
Windows
Windows infoNot a real database server, but making use of DLLshosted
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnonono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLStandard with numerous extensionsyes infothrough the embedded Spark runtimenoyes infobut not compliant to any SQL standardyes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesC#C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functionsyesnoyes infosince Access 2010 using the ACE-engineTransact SQL
Triggersyesnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingnonenoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno 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 dataACIDnoACIDACID infobut no files for transaction loggingACID
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 storageyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003yes

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More resources
GBaseIBM Db2 Event StoreLMDBMicrosoft AccessMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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