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DBMS > EXASOL vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. KairosDB vs. Microsoft Access

System Properties Comparison EXASOL vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. KairosDB vs. Microsoft Access

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKairosDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Distributed Event Store optimized for Internet of Things use casesDistributed Time Series DBMS based on Cassandra or H2Microsoft 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.)
Primary database modelRelational DBMSDocument storeEvent Store
Time Series DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.exasol.comfirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storegithub.com/­kairosdb/­kairosdbwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.exasol.com/­resourcesfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-storekairosdb.github.iodeveloper.microsoft.com/­en-us/­access
DeveloperExasolGoogleIBMMicrosoft
Initial release20002017201720131992
Current release2.01.2.2, November 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesschema-freeyesschema-freeyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLyesnoyes infothrough the embedded Spark runtimenoyes infobut not compliant to any SQL standard
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJava
Lua
Python
R
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
JavaScript infoNode.js
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsyes, Firebase Rules & Cloud Functionsyesnoyes infosince Access 2010 using the ACE-engine
Triggersyesyes, with Cloud Functionsnonoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationActive-active shard replicationselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardsimple password-based access controlno infoa simple user-level security was built in till version Access 2003

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More resources
EXASOLGoogle Cloud FirestoreIBM Db2 Event StoreKairosDBMicrosoft Access
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