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DBMS > Databricks vs. ObjectBox vs. OrientDB vs. RRDtool vs. Splice Machine

System Properties Comparison Databricks vs. ObjectBox vs. OrientDB vs. RRDtool vs. Splice Machine

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonObjectBox  Xexclude from comparisonOrientDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSplice Machine  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.Extremely fast embedded database for small devices, IoT and MobileMulti-model DBMS (Document, Graph, Key/Value)Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Object oriented DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMSRelational DBMS
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
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.databricks.comobjectbox.ioorientdb.orgoss.oetiker.ch/­rrdtoolsplicemachine.com
Technical documentationdocs.databricks.comdocs.objectbox.iowww.orientdb.com/­docs/­last/­index.htmloss.oetiker.ch/­rrdtool/­docsplicemachine.com/­how-it-works
DeveloperDatabricksObjectBox LimitedOrientDB LTD; CallidusCloud; SAPTobias OetikerSplice Machine
Initial release20132017201019992014
Current release3.2.29, March 20241.8.0, 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache version 2Open Source infoGPL V2 and FLOSSOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
All OS with a Java JDK (>= JDK 6)HP-UX
Linux
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoExporting into and restoring from XML files possible
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language, no joinsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary native APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
in-process shared library
Pipes
JDBC
Native Spark Datasource
ODBC
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
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava, Javascriptnoyes infoJava
TriggersnoHooksnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesonline/offline synchronization between client and serverMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationship in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes, multi-version concurrency control (MVCC)
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.nonoyesyes
User concepts infoAccess controlyesAccess rights for users and roles; record level security configurablenoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
DatabricksObjectBoxOrientDBRRDtoolSplice Machine
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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