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DBMS > Alibaba Cloud Table Store vs. GeoMesa vs. HEAVY.AI vs. IBM Db2 Event Store vs. RavenDB

System Properties Comparison Alibaba Cloud Table Store vs. GeoMesa vs. HEAVY.AI vs. IBM Db2 Event Store vs. RavenDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonGeoMesa  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.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 casesOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelWide column storeSpatial DBMSRelational DBMSEvent Store
Time Series DBMS
Document store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#294  Overall
#12  Wide column stores
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websitewww.alibabacloud.com/­product/­table-storewww.geomesa.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2-event-storeravendb.net
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.heavy.aiwww.ibm.com/­docs/­en/­db2-event-storeravendb.net/­docs
DeveloperAlibabaCCRi and othersHEAVY.AI, Inc.IBMHibernating Rhinos
Initial release20162014201620172010
Current release5.0.1, July 20245.10, January 20222.05.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++ and CUDAC and C++C#
Server operating systemshostedLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesnoyesnonoyes
SQL infoSupport of SQLnonoyesyes infothrough the embedded Spark runtimeSQL-like query language (RQL)
APIs and other access methodsHTTP APIJDBC
ODBC
Thrift
Vega
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJava
Python
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#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyesyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicedepending on storage layerSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicedepending on storage layerMulti-source replicationActive-active shard replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnononoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - 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.nodepending on storage layeryesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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