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DBMS > atoti vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. SingleStore

System Properties Comparison atoti vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. SingleStore

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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 comparisonObjectBox  Xexclude from comparisonSingleStore infoformer name was MemSQL  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 ServerLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelObject oriented DBMSRelational DBMSObject oriented DBMS
Vector DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteatoti.ioazure.microsoft.com/­services/­synapse-analyticsgithub.com/­objectbox
objectbox.io
www.singlestore.com
Technical documentationdocs.atoti.iodocs.microsoft.com/­azure/­synapse-analyticsdocs.objectbox.iodocs.singlestore.com
DeveloperActiveViamMicrosoftObjectBox LimitedSingleStore Inc.
Initial release201620172013
Current release4.0 (May 2024)8.5, January 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialBindings are released under Apache 2.0 infoApache License 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++C++, Go
Server operating systemshostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux info64 bit version required
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyes
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 indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesnoyes infobut no triggers and foreign keys
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC#
Java
PHP
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonTransact SQLnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding, horizontal partitioningnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesData sync between devices allowing occasional connected databases to work completely offlineSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno 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 dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesyesFine grained access control via users, groups and roles
More information provided by the system vendor
atotiMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseObjectBoxSingleStore infoformer name was MemSQL
News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
atotiMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseObjectBoxSingleStore infoformer name was MemSQL
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