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DBMS > Apache Impala vs. Atos Standard Common Repository vs. GreptimeDB vs. Microsoft Azure AI Search vs. Newts

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. GreptimeDB vs. Microsoft Azure AI Search vs. Newts

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNewts  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 networksAn open source Time Series DBMS built for increased scalability, high performance and efficiencySearch-as-a-service for web and mobile app developmentTime Series DBMS based on Cassandra
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSSearch engineTime Series DBMS
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygreptime.comazure.microsoft.com/­en-us/­services/­searchopennms.github.io/­newts
Technical documentationimpala.apache.org/­impala-docs.htmldocs.greptime.comlearn.microsoft.com/­en-us/­azure/­searchgithub.com/­OpenNMS/­newts/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsGreptime Inc.MicrosoftOpenNMS Group
Initial release20132016202220152014
Current release4.1.0, June 20221703V1
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaRustJava
Server operating systemsLinuxLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-free, schema definition possibleyesschema-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 statementsnoyesnono
APIs and other access methodsJDBC
ODBC
LDAPgRPC
HTTP API
JDBC
RESTful HTTP APIHTTP REST
Java API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC++
Erlang
Go
Java
JavaScript
C#
Java
JavaScript
Python
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoPythonnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingSharding infoImplicit feature of the cloud serviceSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoImplicit feature of the cloud serviceselectable replication factor infobased on Cassandra
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 ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationSimple rights management via user accountsyes infousing Azure authenticationno
More information provided by the system vendor
Apache ImpalaAtos Standard Common RepositoryGreptimeDBMicrosoft Azure AI SearchNewts
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Apache ImpalaAtos Standard Common RepositoryGreptimeDBMicrosoft Azure AI SearchNewts
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