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DBMS > Hive vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. Sqrrl vs. WakandaDB

System Properties Comparison Hive vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. Sqrrl vs. WakandaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonSqrrl  Xexclude from comparisonWakandaDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerLow-cost RDBMS with access to ISAM and FoxPro data structuresAdaptable, secure NoSQL built on Apache AccumuloWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score80.60
Rank#17  Overall
#11  Relational DBMS
Score23.10
Rank#34  Overall
#20  Relational DBMS
Score3.46
Rank#100  Overall
#51  Relational DBMS
Score0.05
Rank#376  Overall
#21  Object oriented DBMS
Websitehive.apache.orgazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­advantage-database-server.htmlsqrrl.comwakanda.github.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analyticsdoc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftSybase, SAPAmazon infooriginally Sqrrl Data, Inc.Wakanda SAS
Initial release20122016199320122012
Current release3.1.3, April 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++, JavaScript
Server operating systemsAll OS with a Java VMhostedLinux
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesnono
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C#
Java
PHP
Delphi
Perl
PHP
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQLyesnoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnoneSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
selectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic updates per row, document, or graph entityACID
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.no infocaching of (temporary) tables can be configuredno
User concepts infoAccess controlAccess rights for users, groups and rolesyesfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes

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More resources
HiveMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP Advantage Database Server infoformer name: Sybase ADSSqrrlWakandaDB
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