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DBMS > Databend vs. HBase vs. LeanXcale vs. Oracle Berkeley DB

System Properties Comparison Databend vs. HBase vs. LeanXcale vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonHBase  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityWide-column store based on Apache Hadoop and on concepts of BigTableA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesWidely used in-process key-value store
Primary database modelRelational DBMSWide column storeKey-value store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
hbase.apache.orgwww.leanxcale.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.databend.comhbase.apache.org/­book.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperDatabend LabsApache Software Foundation infoApache top-level project, originally developed by PowersetLeanXcaleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2021200820151994
Current release1.0.59, April 20232.3.4, January 202118.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshosted
Linux
macOS
Linux
Unix
Windows infousing Cygwin
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesnonoyes
SQL infoSupport of SQLyesnoyes infothrough Apache Derbyyes infoSQL interfaced based on SQLite is available
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
Java
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javano
Triggersnoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
DatabendHBaseLeanXcaleOracle Berkeley DB
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