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DBMS > atoti vs. Impala vs. Microsoft Azure Cosmos DB

System Properties Comparison atoti vs. Impala vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonImpala  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Analytic DBMS for HadoopGlobally distributed, horizontally scalable, multi-model database service
Primary database modelObject oriented DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#233  Overall
#11  Object oriented DBMS
Score18.95
Rank#37  Overall
#23  Relational DBMS
Score36.10
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.atoti.iowww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.microsoft.com/­azure/­cosmos-db
DeveloperActiveViamClouderaMicrosoft
Initial release20132014
Current release4.1.0, June 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinuxhosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON types
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.no
Secondary indexesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresPythonyes infouser defined functions and integration of map-reduceJavaScript
TriggersnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducewith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights can be defined down to the item level

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More resources
atotiImpalaMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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