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DBMS > Apache Pinot vs. Dgraph vs. KeyDB vs. Trino

System Properties Comparison Apache Pinot vs. Dgraph vs. KeyDB vs. Trino

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDgraph  Xexclude from comparisonKeyDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDistributed and scalable native Graph DBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSGraph DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitepinot.apache.orgdgraph.iogithub.com/­Snapchat/­KeyDB
keydb.dev
trino.io
Technical documentationdocs.pinot.apache.orgdgraph.io/­docsdocs.keydb.devtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperApache Software Foundation and contributorsDgraph Labs, Inc.EQ Alpha Technology Ltd.Trino Software Foundation
Initial release2015201620192012 info2020 rebranded from PrestoSQL
Current release1.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoBSD-3Open Source infoApache Version 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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaGoC++Java
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
LinuxLinux
macOS infofor devlopment
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 infoby using the Redis Search moduledepending on connected data-source
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGo
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoLuayes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication
Source-replica replication
depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
depending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlno infoPlanned for future releasessimple password-based access control and ACLSQL standard access control
More information provided by the system vendor
Apache PinotDgraphKeyDBTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PinotDgraphKeyDBTrino
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