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DBMS > RisingWave vs. Sphinx vs. Tigris

System Properties Comparison RisingWave vs. Sphinx vs. Tigris

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Editorial information provided by DB-Engines
NameRisingWave  Xexclude from comparisonSphinx  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionA distributed RDBMS for stream processing, wire-compatible with PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databasesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSSearch engineDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.risingwave.com/­databasesphinxsearch.comwww.tigrisdata.com
Technical documentationdocs.risingwave.com/­docs/­current/­introsphinxsearch.com/­docswww.tigrisdata.com/­docs
DeveloperRisingWave LabsSphinx Technologies Inc.Tigris Data, Inc.
Initial release202220012022
Current release1.2, September 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++
Server operating systemsDocker
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateStandard SQL-types and JSONnoyes
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.nono
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)no
APIs and other access methodsJDBC
PostgreSQL wire protocol
Proprietary protocolCLI Client
gRPC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresUDFs in Python or Javanono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers and RolesnoAccess rights for users and roles

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