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DBMS > Rockset vs. Sphinx vs. SurrealDB vs. SWC-DB

System Properties Comparison Rockset vs. Sphinx vs. SurrealDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameRockset  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databasesA fully ACID transactional, developer-friendly, multi-model DBMSA high performance, scalable Wide Column DBMS
Primary database modelDocument storeSearch engineDocument store
Graph DBMS
Wide column store
Secondary database modelsRelational DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiterockset.comsphinxsearch.comsurrealdb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.rockset.comsphinxsearch.com/­docssurrealdb.com/­docs
DeveloperRocksetSphinx Technologies Inc.SurrealDB LtdAlex Kashirin
Initial release2019200120222020
Current release3.5.1, February 2023v1.5.0, May 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++RustC++
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datedynamic typingnoyes
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 infoingestion from XML files supportedno
Secondary indexesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)SQL-like query languageSQL-like query language
APIs and other access methodsHTTP RESTProprietary protocolGraphQL
RESTful HTTP API
WebSocket
Proprietary protocol
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Deno
Go
JavaScript (Node.js)
Rust
C++
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and organizations can be defined via Rockset consolenoyes, based on authentication and database rules

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More resources
RocksetSphinxSurrealDBSWC-DB infoSuper Wide Column Database
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