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DBMS > Apache Pinot vs. Google Cloud Datastore vs. RRDtool vs. Yaacomo

System Properties Comparison Apache Pinot vs. Google Cloud Datastore vs. RRDtool vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRRDtool  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIndustry 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.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitepinot.apache.orgcloud.google.com/­datastoreoss.oetiker.ch/­rrdtoolyaacomo.com
Technical documentationdocs.pinot.apache.orgcloud.google.com/­datastore/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation and contributorsGoogleTobias OetikerQ2WEB GmbH
Initial release2015200819992009
Current release1.0.0, September 20231.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsAll OS with a Java JDK11 or higherhostedHP-UX
Linux
Android
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, details hereNumeric 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.nono infoExporting into and restoring from XML files possibleno
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (GQL)noyes
APIs and other access methodsJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
in-process shared library
Pipes
JDBC
ODBC
Supported programming languagesGo
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 proceduresusing Google App Engineno
TriggersCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.noneImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
Apache PinotGoogle Cloud DatastoreRRDtoolYaacomo
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