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DBMS > RavenDB vs. Spark SQL vs. Transbase vs. Trino vs. WakandaDB

System Properties Comparison RavenDB vs. Spark SQL vs. Transbase vs. Trino vs. WakandaDB

Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonTrino  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Document 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
Score2.92
Rank#101  Overall
#18  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteravendb.netspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmltrino.iowakanda.github.io
Technical documentationravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmltrino.io/­broadcast
trino.io/­docs/­current
wakanda.github.io/­doc
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperHibernating RhinosApache Software FoundationTransaction Software GmbHTrino Software FoundationWakanda SAS
Initial release2010201419872012 info2020 rebranded from PrestoSQL2012
Current release5.4, July 20223.5.0 ( 2.13), September 2023Transbase 8.3, 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0commercial infofree development licenseOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageC#ScalaC and C++JavaC++, JavaScript
Server operating systemsLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Linux
macOS infofor devlopment
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesyesnoyesdepending on connected data-source
SQL infoSupport of SQLSQL-like query language (RQL)SQL-like DML and DDL statementsyesyesno
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
RESTful HTTP API
Trino CLI
RESTful HTTP API
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresyesnoyesyes, depending on connected data-sourceyes
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Coredepending on connected data-sourcenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationdepending on connected data-sourcenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistencydepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availablenoyesdepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAuthorization levels configured per client per databasenofine grained access rights according to SQL-standardSQL standard access controlyes
More information provided by the system vendor
RavenDBSpark SQLTransbaseTrinoWakandaDB
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
RavenDBSpark SQLTransbaseTrinoWakandaDB
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