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DBMS > Apache IoTDB vs. BoltDB vs. Geode vs. Google Cloud Firestore vs. Heroic

System Properties Comparison Apache IoTDB vs. BoltDB vs. Geode vs. Google Cloud Firestore vs. Heroic

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBoltDB  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAn embedded key-value store for Go.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelTime Series DBMSKey-value storeKey-value storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#183  Overall
#15  Time Series DBMS
Score0.69
Rank#237  Overall
#34  Key-value stores
Score2.38
Rank#123  Overall
#22  Key-value stores
Score9.97
Rank#47  Overall
#8  Document stores
Score0.63
Rank#242  Overall
#21  Time Series DBMS
Websiteiotdb.apache.orggithub.com/­boltdb/­boltgeode.apache.orgfirebase.google.com/­products/­firestoregithub.com/­spotify/­heroic
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgeode.apache.org/­docsfirebase.google.com/­docs/­firestorespotify.github.io/­heroic
DeveloperApache Software FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleSpotify
Initial release20182013200220172014
Current release1.1.0, April 20231.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaJava
Server operating systemsAll OS with a Java VM (>= 1.8)BSD
Linux
OS X
Solaris
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnonoyesyes infovia Elasticsearch
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (OQL)nono
APIs and other access methodsJDBC
Native API
Java Client API
Memcached protocol
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyesnouser defined functionsyes, Firebase Rules & Cloud Functionsno
Triggersyesnoyes infoCache Event Listenersyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneMulti-source replicationMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparknonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyes, on a single nodeyesno
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.yesnoyesno
User concepts infoAccess controlyesnoAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Apache IoTDBBoltDBGeodeGoogle Cloud FirestoreHeroic
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