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DBMS > Databricks vs. etcd vs. HBase

System Properties Comparison Databricks vs. etcd vs. HBase

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonHBase  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 reliable key-value storeWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument store
Relational DBMS
Key-value storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score7.64
Rank#54  Overall
#5  Key-value stores
Score31.25
Rank#26  Overall
#2  Wide column stores
Websitewww.databricks.cometcd.io
github.com/­etcd-io/­etcd
hbase.apache.org
Technical documentationdocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hbase.apache.org/­book.html
DeveloperDatabricksApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20132008
Current release3.4, August 20192.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
Linux
Unix
Windows infousing Cygwin
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or datenooptions to bring your own types, AVRO
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 indexesyesnono
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
Java API
RESTful HTTP API
Thrift
Supported programming languagesPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infoCoprocessors in Java
Triggersyes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
DatabricksetcdHBase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksetcdHBase
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