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DBMS > Graph Engine vs. Linter vs. Sphinx vs. YugabyteDB

System Properties Comparison Graph Engine vs. Linter vs. Sphinx vs. YugabyteDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonLinter  Xexclude from comparisonSphinx  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineRDBMS for high security requirementsOpen source search engine for searching in data from different sources, e.g. relational databasesHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelGraph DBMS
Key-value store
Relational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.graphengine.iolinter.rusphinxsearch.comwww.yugabyte.com
Technical documentationwww.graphengine.io/­docs/­manualsphinxsearch.com/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperMicrosoftrelex.ruSphinx Technologies Inc.Yugabyte Inc.
Initial release2010199020012017
Current release3.5.1, February 20232.19, September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoGPL version 2, commercial licence 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 language.NET and CC and C++C++C and C++
Server operating systems.NETAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Data schemeyesyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)yes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary protocolJDBC
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#
C++
F#
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesyes infoproprietary syntax with the possibility to convert from PL/SQLnoyes infosql, plpgsql, C
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
Graph Engine infoformer name: TrinityLinterSphinxYugabyteDB
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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More resources
Graph Engine infoformer name: TrinityLinterSphinxYugabyteDB
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