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DBMS > Apache HBase vs. Databricks vs. NSDb

System Properties Comparison Apache HBase vs. Databricks vs. NSDb

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Editorial information provided by DB-Engines
NameApache HBase  Xexclude from comparisonDatabricks  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableThe 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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelWide column storeDocument store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.25
Rank#26  Overall
#2  Wide column stores
Score86.46
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.00
Rank#386  Overall
#41  Time Series DBMS
Websitehbase.apache.orgwww.databricks.comnsdb.io
Technical documentationhbase.apache.org/­book.htmldocs.databricks.comnsdb.io/­Architecture
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetDatabricks
Initial release200820132017
Current release2.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Scala
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedLinux
macOS
Data schemeschema-free, schema definition possibleFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes: int, bigint, decimal, string
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.noyesno
Secondary indexesnoyesall fields are automatically indexed
SQL infoSupport of SQLnowith Databricks SQLSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Python
R
Scala
Java
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functions and aggregatesno
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
Apache HBaseDatabricksNSDb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache HBaseDatabricksNSDb
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