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DBMS > FeatureBase vs. Sphinx vs. SurrealDB

System Properties Comparison FeatureBase vs. Sphinx vs. SurrealDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Open source search engine for searching in data from different sources, e.g. relational databasesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSSearch engineDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitewww.featurebase.comsphinxsearch.comsurrealdb.com
Technical documentationdocs.featurebase.comsphinxsearch.com/­docssurrealdb.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsSphinx Technologies Inc.SurrealDB Ltd
Initial release201720012022
Current release2022, May 20223.5.1, February 2023v1.1.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++Rust
Server operating systemsLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyes
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 indexesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL queriesSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Proprietary protocolGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesJava
Python
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 proceduresno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes 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.yes
User concepts infoAccess controlnoyes, based on authentication and database rules

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FeatureBaseSphinxSurrealDB
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