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DBMS > Apache Impala vs. HugeGraph vs. jBASE vs. MySQL

System Properties Comparison Apache Impala vs. HugeGraph vs. jBASE vs. MySQL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHugeGraph  Xexclude from comparisonjBASE  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA fast-speed and highly-scalable Graph DBMSA robust multi-value DBMS comprising development tools and middlewareWidely used open source RDBMS
Primary database modelRelational DBMSGraph DBMSMultivalue DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Websiteimpala.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.mysql.com
Technical documentationimpala.apache.org/­impala-docs.htmlhugegraph.apache.org/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9dev.mysql.com/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBaiduRocket Software (formerly Zumasys)Oracle infosince 2010, originally MySQL AB, then Sun
Initial release2013201819911995
Current release4.1.0, June 20220.95.78.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC++JavaC and C++
Server operating systemsLinuxLinux
macOS
Unix
AIX
Linux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.nonoyesyes
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoEmbedded SQL for jBASE in BASICyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBCGroovy
Java
Python
.Net
Basic
Jabbascript
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsyesyes infoproprietary syntax
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducevia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers, roles and permissionsAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache ImpalaHugeGraphjBASEMySQL
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