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DBMS > HugeGraph vs. Informix vs. Sphinx vs. SurrealDB

System Properties Comparison HugeGraph vs. Informix vs. Sphinx vs. SurrealDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInformix  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataOpen source search engine for searching in data from different sources, e.g. relational databasesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelGraph DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBSearch engineDocument store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­informixsphinxsearch.comsurrealdb.com
Technical documentationhugegraph.apache.org/­docsinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
sphinxsearch.com/­docssurrealdb.com/­docs
DeveloperBaiduIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Sphinx Technologies Inc.SurrealDB Ltd
Initial release2018198420012022
Current release0.914.10.FC5, November 20203.5.1, February 2023v1.1.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and JavaC++Rust
Server operating systemsLinux
macOS
Unix
AIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesnoyes
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.no
Secondary indexesyes infoalso supports composite index and range indexyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary protocolGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers, roles and permissionsUsers with fine-grained authentication, authorization, and auditing controlsnoyes, based on authentication and database rules

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HugeGraphInformixSphinxSurrealDB
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