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DBMS > Apache Impala vs. HugeGraph vs. Kingbase vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison Apache Impala vs. HugeGraph vs. Kingbase vs. Microsoft Azure AI Search vs. Sphinx

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHugeGraph  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA fast-speed and highly-scalable Graph DBMSAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Search-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSGraph DBMSRelational DBMSSearch engineSearch engine
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector 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
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websiteimpala.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.kingbase.com.cnazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationimpala.apache.org/­impala-docs.htmlhugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBaiduBeiJing KINGBASE Information technologies inc.MicrosoftSphinx Technologies Inc.
Initial release20132018199920152001
Current release4.1.0, June 20220.9V8.0, August 2021V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC and JavaC++
Server operating systemsLinuxLinux
macOS
Unix
Linux
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesno
Secondary indexesyesyes infoalso supports composite index and range indexyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsnoStandard with numerous extensionsnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP APIProprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCGroovy
Java
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsuser defined functionsnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducevia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers, roles and permissionsfine grained access rights according to SQL-standardyes infousing Azure authenticationno

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More resources
Apache ImpalaHugeGraphKingbaseMicrosoft Azure AI SearchSphinx
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