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DBMS > Alibaba Cloud Table Store vs. Hawkular Metrics vs. HEAVY.AI vs. IBM Db2 Event Store vs. Interbase

System Properties Comparison Alibaba Cloud Table Store vs. Hawkular Metrics vs. HEAVY.AI vs. IBM Db2 Event Store vs. Interbase

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInterbase  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed Event Store optimized for Internet of Things use casesLight-weight proven RDBMS infooriginally from Borland
Primary database modelWide column storeTime Series DBMSRelational DBMSEvent Store
Time Series DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2-event-storewww.embarcadero.com/­products/­interbase
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aiwww.ibm.com/­docs/­en/­db2-event-storedocs.embarcadero.com/­products/­interbase
DeveloperAlibabaCommunity supported by Red HatHEAVY.AI, Inc.IBMEmbarcadero
Initial release20162014201620171984
Current release5.10, January 20222.0InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAC and C++C
Server operating systemshostedLinux
OS X
Windows
LinuxLinux infoLinux, macOS, Windows for the developer additionAndroid
iOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
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.nonononono infoexport as XML data possible
Secondary indexesnonononoyes
SQL infoSupport of SQLnonoyesyes infothrough the embedded Spark runtimeyes
APIs and other access methodsHTTP APIHTTP RESTJDBC
ODBC
Thrift
Vega
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesJava
Python
Go
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresnononoyesyes infoInterbase procedure and trigger language
Triggersnoyes infovia Hawkular Alertingnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infobased on CassandraSharding infoRound robinShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor infobased on CassandraMulti-source replicationActive-active shard replicationInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes infoMultiversion concurreny control
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.nonoyesyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 Event StoreInterbase
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