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DBMS > Alibaba Cloud Table Store vs. EXASOL vs. GridGain vs. IRONdb vs. Microsoft Azure Synapse Analytics

System Properties Comparison Alibaba Cloud Table Store vs. EXASOL vs. GridGain vs. IRONdb vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonEXASOL  Xexclude from comparisonGridGain  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GridGain is an in-memory computing platform, built on Apache IgniteA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelWide column storeRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.exasol.comwww.gridgain.comwww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewww.exasol.com/­resourceswww.gridgain.com/­docs/­index.htmldocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­azure/­synapse-analytics
DeveloperAlibabaExasolGridGain Systems, Inc.Circonus LLC.Microsoft
Initial release20162000200720172016
Current releaseGridGain 8.5.1V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++C++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linuxhosted
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histogramsyes
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.nonoyesnono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsHTTP API.Net
JDBC
ODBC
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesJava
Python
Java
Lua
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)yes, in LuaTransact SQL
Triggersnoyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingAutomatic, metric affinity per nodeSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes (replicated cache)configurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyesnonono 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 dataAtomic single-row operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users, groups and roles according to SQL-standardSecurity Hooks for custom implementationsnoyes

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More resources
Alibaba Cloud Table StoreEXASOLGridGainIRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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