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DBMS > Apache Doris vs. GridDB vs. InfinityDB vs. IRONdb vs. SwayDB

System Properties Comparison Apache Doris vs. GridDB vs. InfinityDB vs. IRONdb vs. SwayDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGridDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonIRONdb  Xexclude from comparisonSwayDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolScalable in-memory time series database optimized for IoT and Big DataA Java embedded Key-Value Store which extends the Java Map interfaceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSTime Series DBMSKey-value storeTime Series DBMSKey-value store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
griddb.netboilerbay.comwww.circonus.com/solutions/time-series-database/swaydb.simer.au
Technical documentationgithub.com/­apache/­doris/­wikidocs.griddb.netboilerbay.com/­infinitydb/­manualdocs.circonus.com/irondb/category/getting-started
DeveloperApache Software Foundation, originally contributed from BaiduToshiba CorporationBoiler Bay Inc.Circonus LLC.Simer Plaha
Initial release20172013200220172018
Current release1.2.2, February 20235.1, August 20224.0V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC and C++Scala
Server operating systemsLinuxLinuxAll OS with a Java VMLinux
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infotext, numeric, histogramsno
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.nonononono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilitynono
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)noSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes, in Luano
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID infoOptimistic locking for transactions; no isolation for bulk loadsnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databasenonono
More information provided by the system vendor
Apache DorisGridDBInfinityDBIRONdbSwayDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Apache DorisGridDBInfinityDBIRONdbSwayDB
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