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DBMS > Hive vs. Hypertable vs. SAP HANA vs. Snowflake vs. WakandaDB

System Properties Comparison Hive vs. Hypertable vs. SAP HANA vs. Snowflake vs. WakandaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHypertable  Xexclude from comparisonSAP HANA  Xexclude from comparisonSnowflake  Xexclude from comparisonWakandaDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source BigTable implementation based on distributed file systems such as HadoopIn-memory, column based data store. Available as appliance or cloud serviceCloud-based data warehousing service for structured and semi-structured dataWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitehive.apache.orgwww.sap.com/­products/­hana.htmlwww.snowflake.comwakanda.github.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homehelp.sap.com/­hanadocs.snowflake.net/­manuals/­index.htmlwakanda.github.io/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookHypertable Inc.SAPSnowflake Computing Inc.Wakanda SAS
Initial release20122009201020142012
Current release3.1.3, April 20220.9.8.11, March 20162.0 SPS07 (April 4, 2023), April 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono infoalso available as a cloud based serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaScript
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Appliance or cloud-servicehostedLinux
OS X
Windows
Data schemeyesschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyesno
APIs and other access methodsJDBC
ODBC
Thrift
C++ API
Thrift
JDBC
ODBC
CLI Client
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoSQLScript, Ruser defined functionsyes
Triggersnonoyesno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users, groups and rolesnoyesUsers with fine-grained authorization concept, user roles and pluggable authenticationyes

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More resources
HiveHypertableSAP HANASnowflakeWakandaDB
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