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DBMS > atoti vs. Microsoft Azure Synapse Analytics vs. Realm vs. Rockset

System Properties Comparison atoti vs. Microsoft Azure Synapse Analytics vs. Realm vs. Rockset

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRealm  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelObject oriented DBMSRelational DBMSDocument storeDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.82
Rank#212  Overall
#36  Document stores
Websiteatoti.ioazure.microsoft.com/­services/­synapse-analyticsrealm.iorockset.com
Technical documentationdocs.atoti.iodocs.microsoft.com/­azure/­synapse-analyticsrealm.io/­docsdocs.rockset.com
DeveloperActiveViamMicrosoftRealm, acquired by MongoDB in May 2019Rockset
Initial release201620142019
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesnoRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesC#
Java
PHP
.Net
Java infowith Android only
Objective-C
React Native
Swift
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonTransact SQLno inforuns within the applications so server-side scripts are unnecessaryno
Triggersnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding, horizontal partitioningnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realm
User concepts infoAccess controlyesyesAccess rights for users and organizations can be defined via Rockset console

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atotiMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRealmRockset
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