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DBMS > Databricks vs. Heroic vs. ObjectBox vs. Stardog vs. Tkrzw

System Properties Comparison Databricks vs. Heroic vs. ObjectBox vs. Stardog vs. Tkrzw

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHeroic  Xexclude from comparisonObjectBox  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchExtremely fast embedded database for small devices, IoT and MobileEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Relational DBMS
Time Series DBMSObject oriented DBMSGraph DBMS
RDF store
Key-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.databricks.comgithub.com/­spotify/­heroicobjectbox.iowww.stardog.comdbmx.net/­tkrzw
Technical documentationdocs.databricks.comspotify.github.io/­heroicdocs.objectbox.iodocs.stardog.com
DeveloperDatabricksSpotifyObjectBox LimitedStardog-UnionMikio Hirabayashi
Initial release20132014201720102020
Current release7.3.0, May 20200.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache License 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaC++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
Linux
macOS
Windows
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnonono infoImport/export of XML data possibleno
Secondary indexesyesyes infovia Elasticsearchyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLwith Databricks SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary native APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesPython
R
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnonoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesonline/offline synchronization between client and serverMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononoyesyes infousing specific database classes
User concepts infoAccess controlyesAccess rights for users and rolesno
More information provided by the system vendor
DatabricksHeroicObjectBoxStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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