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DBMS > HugeGraph vs. Immudb vs. Microsoft Azure AI Search vs. Sphinx vs. TimesTen

System Properties Comparison HugeGraph vs. Immudb vs. Microsoft Azure AI Search vs. Sphinx vs. TimesTen

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonImmudb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Search-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databasesIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMSKey-value storeSearch engineSearch engineRelational DBMS
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­codenotary/­immudb
immudb.io
azure.microsoft.com/­en-us/­services/­searchsphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationhugegraph.apache.org/­docsdocs.immudb.iolearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperBaiduCodenotaryMicrosoftSphinx Technologies Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182020201520011998
Current release0.91.2.3, April 2022V13.5.1, February 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemsLinux
macOS
Unix
BSD
Linux
macOS
Solaris
Windows
z/OS
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyes infoalso supports composite index and range indexyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like syntaxnoSQL-like query language (SphinxQL)yes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC protocol
PostgreSQL wire protocol
RESTful HTTP APIProprietary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGroovy
Java
Python
.Net
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnononoPL/SQL
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoedges in graphnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlUsers, roles and permissionsyes infousing Azure authenticationnofine grained access rights according to SQL-standard

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More resources
HugeGraphImmudbMicrosoft Azure AI SearchSphinxTimesTen
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