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DBMS > Databricks vs. Graph Engine vs. Hive vs. Quasardb

System Properties Comparison Databricks vs. Graph Engine vs. Hive vs. Quasardb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginedata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries database
Primary database modelDocument store
Relational DBMS
Graph DBMS
Key-value store
Relational DBMSTime 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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.databricks.comwww.graphengine.iohive.apache.orgquasar.ai
Technical documentationdocs.databricks.comwww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­master
DeveloperDatabricksMicrosoftApache Software Foundation infoinitially developed by Facebookquasardb
Initial release2013201020122009
Current release3.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen 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 serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC++
Server operating systemshosted.NETAll OS with a Java VMBSD
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.yesnono
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLwith Databricks SQLnoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
HTTP API
Supported programming languagesPython
R
Scala
C#
C++
F#
Visual Basic
C++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducewith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and rolesCryptographically strong user authentication and audit trail
More information provided by the system vendor
DatabricksGraph Engine infoformer name: TrinityHiveQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGraph Engine infoformer name: TrinityHiveQuasardb
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