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DBMS > Apache Druid vs. Atos Standard Common Repository vs. Hyprcubd vs. Microsoft Azure AI Search vs. RRDtool

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. Hyprcubd vs. Microsoft Azure AI Search vs. RRDtool

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHyprcubd  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRRDtool  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksServerless Time Series DBMSSearch-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.
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Time Series DBMSSearch engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryhyprcubd.com (offline)azure.microsoft.com/­en-us/­services/­searchoss.oetiker.ch/­rrdtool
Technical documentationdruid.apache.org/­docs/­latest/­designlearn.microsoft.com/­en-us/­azure/­searchoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsHyprcubd, Inc.MicrosoftTobias Oetiker
Initial release2012201620151999
Current release29.0.1, April 20241703V11.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X
Unix
LinuxhostedhostedHP-UX
Linux
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyes infotime, int, uint, float, stringyesNumeric data only
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 infoExporting into and restoring from XML files possible
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL for queryingnoSQL-like query languagenono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPgRPC (https)RESTful HTTP APIin-process shared library
Pipes
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC#
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
Server-side scripts infoStored proceduresnonononono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes infoby using the rrdcached daemon
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.noyesnonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationtoken accessyes infousing Azure authenticationno

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More resources
Apache DruidAtos Standard Common RepositoryHyprcubdMicrosoft Azure AI SearchRRDtool
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