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DBMS > Geode vs. GreptimeDB vs. Microsoft Azure AI Search vs. Teradata Aster

System Properties Comparison Geode vs. GreptimeDB vs. Microsoft Azure AI Search vs. Teradata Aster

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn open source Time Series DBMS built for increased scalability, high performance and efficiencySearch-as-a-service for web and mobile app developmentPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeTime Series DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitegeode.apache.orggreptime.comazure.microsoft.com/­en-us/­services/­search
Technical documentationgeode.apache.org/­docsdocs.greptime.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Greptime Inc.MicrosoftTeradata
Initial release2002202220152005
Current release1.1, February 2017V1
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRust
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedLinux
Data schemeschema-freeschema-free, schema definition possibleyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (OQL)yesnoyes
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
gRPC
HTTP API
JDBC
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Erlang
Go
Java
JavaScript
C#
Java
JavaScript
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsPythonnoR packages
Triggersyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud serviceyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights per client and object definableSimple rights management via user accountsyes infousing Azure authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
GeodeGreptimeDBMicrosoft Azure AI SearchTeradata Aster
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...
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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
GeodeGreptimeDBMicrosoft Azure AI SearchTeradata Aster
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