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DBMS > PostGIS vs. Sphinx vs. Vitess vs. YugabyteDB

System Properties Comparison PostGIS vs. Sphinx vs. Vitess vs. YugabyteDB

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Editorial information provided by DB-Engines
NamePostGIS  Xexclude from comparisonSphinx  Xexclude from comparisonVitess  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionSpatial extension of PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databasesScalable, distributed, cloud-native DBMS, extending MySQLHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelSpatial DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.82
Rank#209  Overall
#97  Relational DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitepostgis.netsphinxsearch.comvitess.iowww.yugabyte.com
Technical documentationpostgis.net/­documentationsphinxsearch.com/­docsvitess.io/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperSphinx Technologies Inc.The Linux Foundation, PlanetScaleYugabyte Inc.
Initial release2005200120132017
Current release3.4.2, February 20243.5.1, February 202315.0.2, December 20222.19, September 2023
License infoCommercial or Open SourceOpen Source infoGPL v2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0, commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageCC++GoC and C++
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Docker
Linux
macOS
Linux
OS X
Data schemeyesyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesno
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)yes infowith proprietary extensionsyes, PostgreSQL compatible
APIs and other access methodsProprietary protocolADO.NET
JDBC
MySQL protocol
ODBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes infoproprietary syntaxyes infosql, plpgsql, C
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLnoneMulti-source replication
Source-replica replication
Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at shard levelDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes infobased on PostgreSQLnoUsers with fine-grained authorization concept infono user groups or rolesyes
More information provided by the system vendor
PostGISSphinxVitessYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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PostGISSphinxVitessYugabyteDB
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