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

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

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRRDtool  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 processesSearch-as-a-service for web and mobile app developmentIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Platform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeSearch engineTime Series DBMSRelational 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
Score5.59
Rank#63  Overall
#7  Search engines
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitegeode.apache.orgazure.microsoft.com/­en-us/­services/­searchoss.oetiker.ch/­rrdtool
Technical documentationgeode.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchoss.oetiker.ch/­rrdtool/­doc
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MicrosoftTobias OetikerTeradata
Initial release2002201519992005
Current release1.1, February 2017V11.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedHP-UX
Linux
Linux
Data schemeschema-freeyesyesFlexible 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 dateyesyesNumeric data onlyyes
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 infoExporting into and restoring from XML files possibleyes infoin Aster File Store
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL-like query language (OQL)nonoyes
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP APIin-process shared library
Pipes
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
Java
JavaScript
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsnonoR packages
Triggersyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud servicenoneyes 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 ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
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.yesnoyesno
User concepts infoAccess controlAccess rights per client and object definableyes infousing Azure authenticationnofine grained access rights according to SQL-standard

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More resources
GeodeMicrosoft Azure AI SearchRRDtoolTeradata Aster
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