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DBMS > Databricks vs. H2 vs. Stardog vs. TDSQL for MySQL vs. Transbase

System Properties Comparison Databricks vs. H2 vs. Stardog vs. TDSQL for MySQL vs. Transbase

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonH2  Xexclude from comparisonStardog  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.databricks.comwww.h2database.comwww.stardog.comwww.tencentcloud.com/­products/­dcdbwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.databricks.comwww.h2database.com/­html/­main.htmldocs.stardog.comwww.tencentcloud.com/­document/­product/­1042www.transaction.de/­en/­products/­transbase/­features.html
DeveloperDatabricksThomas MuellerStardog-UnionTencentTransaction Software GmbH
Initial release20132005201020131987
Current release2.2.220, July 20237.3.0, May 2020Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++
Server operating systemshostedAll OS with a Java VMLinux
macOS
Windows
hostedFreeBSD
Linux
macOS
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono infoImport/export of XML data possiblenono
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyesyes
SQL infoSupport of SQLwith Databricks SQLyesYes, compatible with all major SQL variants through dedicated BI/SQL Serveryesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesPython
R
Scala
Java.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsuser defined functions and aggregates, HTTP Server extensions in Javayesyes
Triggersyesyes infovia event handlersyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksH2StardogTDSQL for MySQLTransbase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksH2StardogTDSQL for MySQLTransbase
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