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DBMS > Hive vs. WakandaDB vs. XTDB

System Properties Comparison Hive vs. WakandaDB vs. XTDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonWakandaDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSObject oriented DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websitehive.apache.orgwakanda.github.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewakanda.github.io/­docwww.xtdb.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookWakanda SASJuxt Ltd.
Initial release201220122019
Current release3.1.3, April 20222.7.0 (AprilĀ 29, 2019), April 20191.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPLv3, extended commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaScriptClojure
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation format
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP APIHTTP REST
JDBC
Supported programming languagesC++
Java
PHP
Python
JavaScriptClojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and rolesyes

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More resources
HiveWakandaDBXTDB infoformerly named Crux
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