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DBMS > Apache Impala vs. Atos Standard Common Repository vs. GeoSpock vs. HugeGraph vs. TerarkDB

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. GeoSpock vs. HugeGraph vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonHugeGraph  Xexclude from comparisonTerarkDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleA fast-speed and highly-scalable Graph DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSGraph DBMSKey-value store
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­bytedance/­terarkdb
Technical documentationimpala.apache.org/­impala-docs.htmlhugegraph.apache.org/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsGeoSpockBaiduByteDance, originally Terark
Initial release2013201620182016
Current release4.1.0, June 202217032.0, September 20190.9
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache Version 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava, JavascriptJavaC++
Server operating systemsLinuxLinuxhostedLinux
macOS
Unix
Data schemeyesSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesno
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.noyesnonono
Secondary indexesyesyestemporal, categoricalyes infoalso supports composite index and range indexno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI SQL for query only (using Presto)nono
APIs and other access methodsJDBC
ODBC
LDAPJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsGroovy
Java
Python
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoasynchronous Gremlin script jobsno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionAutomatic shardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnoACIDno
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.noyesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationAccess rights for users can be defined per tableUsers, roles and permissionsno

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More resources
Apache ImpalaAtos Standard Common RepositoryGeoSpockHugeGraphTerarkDB
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