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DBMS > Alibaba Cloud Table Store vs. Apache Impala vs. Spark SQL vs. TigerGraph

System Properties Comparison Alibaba Cloud Table Store vs. Apache Impala vs. Spark SQL vs. TigerGraph

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Impala  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAnalytic DBMS for HadoopSpark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.alibabacloud.com/­product/­table-storeimpala.apache.orgspark.apache.org/­sqlwww.tigergraph.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreimpala.apache.org/­impala-docs.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
DeveloperAlibabaApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation
Initial release2016201320142017
Current release4.1.0, June 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC++
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsHTTP APIJDBC
ODBC
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
Python
All languages supporting JDBC/ODBCJava
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoRole-based access control

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More resources
Alibaba Cloud Table StoreApache ImpalaSpark SQLTigerGraph
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