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DBMS > Alibaba Cloud Table Store vs. Drizzle vs. Hypertable vs. IBM Db2 Event Store

System Properties Comparison Alibaba Cloud Table Store vs. Drizzle vs. Hypertable vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDrizzle  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source BigTable implementation based on distributed file systems such as HadoopDistributed Event Store optimized for Internet of Things use cases
Primary database modelWide column storeRelational DBMSWide column storeEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.ibm.com/­products/­db2-event-store
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewww.ibm.com/­docs/­en/­db2-event-store
DeveloperAlibabaDrizzle project, originally started by Brian AkerHypertable Inc.IBM
Initial release2016200820092017
Current release7.2.4, September 20120.9.8.11, March 20162.0
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoGNU version 3. Commercial license availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C and C++
Server operating systemshostedFreeBSD
Linux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nono
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes infothrough the embedded Spark runtime
APIs and other access methodsHTTP APIJDBCC++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
C
C++
Java
PHP
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnononoyes
Triggersnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
selectable replication factor on file system levelActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreDrizzleHypertableIBM Db2 Event Store
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