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DBMS > Databricks vs. Drizzle vs. HBase vs. NebulaGraph

System Properties Comparison Databricks vs. Drizzle vs. HBase vs. NebulaGraph

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonHBase  Xexclude from comparisonNebulaGraph  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Wide-column store based on Apache Hadoop and on concepts of BigTableA distributed, linear scalable, high perfomant Graph DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSWide column storeGraph 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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.23
Rank#116  Overall
#10  Graph DBMS
Websitewww.databricks.comhbase.apache.orggithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
Technical documentationdocs.databricks.comhbase.apache.org/­book.htmldocs.nebula-graph.io
DeveloperDatabricksDrizzle project, originally started by Brian AkerApache Software Foundation infoApache top-level project, originally developed by PowersetVesoft Inc.
Initial release2013200820082019
Current release7.2.4, September 20122.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache version 2Open Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemshostedFreeBSD
Linux
OS X
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free, schema definition possibleStrong typed schema
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes
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 indexesyesyesnoyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLwith Databricks SQLyes infowith proprietary extensionsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJava API
RESTful HTTP API
Thrift
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
Supported programming languagesPython
R
Scala
C
C++
Java
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Go
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infoCoprocessors in Javauser defined functions
Triggersno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Causal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole-based access control
More information provided by the system vendor
DatabricksDrizzleHBaseNebulaGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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