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DBMS > atoti vs. Hive vs. Manticore Search vs. Microsoft Azure Synapse Analytics

System Properties Comparison atoti vs. Hive vs. Manticore Search vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHive  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.data warehouse software for querying and managing large distributed datasets, built on HadoopMulti-storage database for search, including full-text search.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelObject oriented DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteatoti.iohive.apache.orgmanticoresearch.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.atoti.iocwiki.apache.org/­confluence/­display/­Hive/­Homemanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperActiveViamApache Software Foundation infoinitially developed by FacebookManticore SoftwareMicrosoft
Initial release201220172016
Current release3.1.3, April 20226.0, February 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2Open Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
hosted
Data schemeyesFixed schemayes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.Can index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresPythonyes infouser defined functions and integration of map-reduceuser defined functionsTransact SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication based on Galera libraryyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and rolesnoyes

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More resources
atotiHiveManticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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