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

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

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Impala  Xexclude from comparisonElasticsearch  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAnalytic DBMS for HadoopA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeRelational DBMSSearch engineGraph DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
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
Score132.83
Rank#7  Overall
#1  Search engines
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeimpala.apache.orgwww.elastic.co/­elasticsearchjanusgraph.orgspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreimpala.apache.org/­impala-docs.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.janusgraph.orgspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaApache Software Foundation infoApache top-level project, originally developed by ClouderaElasticLinux Foundation; originally developed as Titan by AureliusApache Software Foundation
Initial release20162013201020172014
Current release4.1.0, June 20228.6, January 20230.6.3, February 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoElastic LicenseOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScala
Server operating systemshostedLinuxAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
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
Secondary indexesnoyesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languagenoSQL-like DML and DDL statements
APIs and other access methodsHTTP APIJDBC
ODBC
Java API
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Supported programming languagesJava
Python
All languages supporting JDBC/ODBC.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Clojure
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesyesno
Triggersnonoyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factoryesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceES-Hadoop Connectoryes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoMemcached and Redis integrationno
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUser authentification and security via Rexster Graph Serverno

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More resources
Alibaba Cloud Table StoreApache ImpalaElasticsearchJanusGraph infosuccessor of TitanSpark SQL
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