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DBMS > atoti vs. Microsoft Azure Synapse Analytics vs. Milvus vs. Oracle Coherence

System Properties Comparison atoti vs. Microsoft Azure Synapse Analytics vs. Milvus vs. Oracle Coherence

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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 comparisonMilvus  Xexclude from comparisonOracle Coherence  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 designed for efficient storage of vector data and vector similarity searchesOracles in-memory data grid solution
Primary database modelObject oriented DBMSRelational DBMSVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteatoti.ioazure.microsoft.com/­services/­synapse-analyticsmilvus.iowww.oracle.com/­java/­coherence
Technical documentationdocs.atoti.iodocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mddocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperActiveViamMicrosoftOracle
Initial release201620192007
Current release2.3.4, January 202414.1, August 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0commercial
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++C++, GoJava
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java VM
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes
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 indexesyesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesnono
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJCache
JPA
RESTful HTTP API
Supported programming languagesC#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
Server-side scripts infoStored proceduresPythonTransact SQLnono
Triggersnonoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Immediate 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 dataACIDnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesRole based access control and fine grained access rightsauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
atotiMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusOracle Coherence
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
atotiMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusOracle Coherence
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