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DBMS > Badger vs. Databricks vs. OrientDB vs. Quasardb

System Properties Comparison Badger vs. Databricks vs. OrientDB vs. Quasardb

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonOrientDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The 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.Multi-model DBMS (Document, Graph, Key/Value)Distributed, high-performance timeseries database
Primary database modelKey-value storeDocument store
Relational DBMS
Document store
Graph DBMS
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comorientdb.orgquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comwww.orientdb.com/­docs/­last/­index.htmldoc.quasar.ai/­master
DeveloperDGraph LabsDatabricksOrientDB LTD; CallidusCloud; SAPquasardb
Initial release2017201320102009
Current release3.2.29, March 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java JDK (>= JDK 6)BSD
Linux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or datenoyesyes infointeger and binary
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.noyesnono
Secondary indexesnoyesyesyes infowith tags
SQL infoSupport of SQLnowith Databricks SQLSQL-like query language, no joinsSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesGoPython
R
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functions and aggregatesJava, Javascriptno
TriggersnoHooksno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed querieswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users and roles; record level security configurableCryptographically strong user authentication and audit trail
More information provided by the system vendor
BadgerDatabricksOrientDBQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerDatabricksOrientDBQuasardb
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