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DBMS > Apache Impala vs. Atos Standard Common Repository vs. Machbase Neo vs. Microsoft Azure AI Search vs. Microsoft Azure Table Storage

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. Machbase Neo vs. Microsoft Azure AI Search vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksTimeSeries DBMS for AIoT and BigDataSearch-as-a-service for web and mobile app developmentA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSSearch engineWide column store
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score4.48
Rank#75  Overall
#6  Wide column stores
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorymachbase.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationimpala.apache.org/­impala-docs.htmlmachbase.com/­dbmslearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsMachbaseMicrosoftMicrosoft
Initial release20132016201320152012
Current release4.1.0, June 20221703V8.0, August 2023V1
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree test version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC
Server operating systemsLinuxLinuxLinux
macOS
Windows
hostedhosted
Data schemeyesSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
LDAPgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP APIRESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
Java
JavaScript
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesselectable replication factoryes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovolatile and lookup tablenono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationsimple password-based access controlyes infousing Azure authenticationAccess rights based on private key authentication or shared access signatures

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More resources
Apache ImpalaAtos Standard Common RepositoryMachbase Neo infoFormer name was InfinifluxMicrosoft Azure AI SearchMicrosoft Azure Table Storage
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