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DBMS > FeatureBase vs. Google Cloud Bigtable vs. JaguarDB vs. RRDtool vs. SwayDB

System Properties Comparison FeatureBase vs. Google Cloud Bigtable vs. JaguarDB vs. RRDtool vs. SwayDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonJaguarDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Performant, highly scalable DBMS for AI and IoT applicationsIndustry 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.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSKey-value store
Wide column store
Key-value store
Vector DBMS
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.featurebase.comcloud.google.com/­bigtablewww.jaguardb.comoss.oetiker.ch/­rrdtoolswaydb.simer.au
Technical documentationdocs.featurebase.comcloud.google.com/­bigtable/­docswww.jaguardb.com/­support.htmloss.oetiker.ch/­rrdtool/­doc
DeveloperMolecula and Pilosa Open Source ContributorsGoogleDataJaguar, Inc.Tobias OetikerSimer Plaha
Initial release20172015201519992018
Current release2022, May 20223.3 July 20231.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0Open Source infoGPL V2 and FLOSSOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ infothe server part. Clients available in other languagesC infoImplementations in Java (e.g. RRD4J) and C# availableScala
Server operating systemsLinux
macOS
hostedLinuxHP-UX
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyno
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.nononono infoExporting into and restoring from XML files possibleno
Secondary indexesnonoyesnono
SQL infoSupport of SQLSQL queriesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
in-process shared library
Pipes
Supported programming languagesJava
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
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
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsnonoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsnono

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More resources
FeatureBaseGoogle Cloud BigtableJaguarDBRRDtoolSwayDB
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