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DBMS > BoltDB vs. Dgraph vs. IBM Db2 Event Store vs. Trino

System Properties Comparison BoltDB vs. Dgraph vs. IBM Db2 Event Store vs. Trino

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDgraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Distributed and scalable native Graph DBMSDistributed Event Store optimized for Internet of Things use casesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeGraph DBMSEvent Store
Time Series DBMS
Relational 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
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitegithub.com/­boltdb/­boltdgraph.iowww.ibm.com/­products/­db2-event-storetrino.io
Technical documentationdgraph.io/­docswww.ibm.com/­docs/­en/­db2-event-storetrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperDgraph Labs, Inc.IBMTrino Software Foundation
Initial release2013201620172012 info2020 rebranded from PrestoSQL
Current release2.0
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercial infofree developer edition availableOpen 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 languageGoGoC and C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
macOS infofor devlopment
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono
Secondary indexesnoyesnodepending on connected data-source
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGoC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesyes, depending on connected data-source
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via RaftActive-active shard replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistencydepending on connected data-source
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storagedepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnono infoPlanned for future releasesfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
BoltDBDgraphIBM Db2 Event StoreTrino
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
News

One busy week to go before Trino Fest 2024
6 June 2024

60: Trino calling AI
22 May 2024

Big names round out the Trino Fest 2024 lineup
8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

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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
BoltDBDgraphIBM Db2 Event StoreTrino
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