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DBMS > Apache IoTDB vs. Firebolt vs. Google Cloud Bigtable vs. MaxDB vs. TimesTen

System Properties Comparison Apache IoTDB vs. Firebolt vs. Google Cloud Bigtable vs. MaxDB vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFirebolt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonTimesTen  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 FlinkHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A robust and reliable RDBMS optimized to run all major SAP solutionsIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSRelational DBMSKey-value store
Wide column store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteiotdb.apache.orgwww.firebolt.iocloud.google.com/­bigtablemaxdb.sap.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.firebolt.iocloud.google.com/­bigtable/­docsmaxdb.sap.com/­documentationdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationFirebolt Analytics Inc.GoogleSAP, acquired from Software AG (Adabas-D) in 1997Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182020201519841998
Current release1.1.0, April 20237.9.10.12, February 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedhostedAIX
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyesyes
APIs and other access methodsJDBC
Native API
.Net
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
Perl
PHP
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesnonoyesPL/SQL
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache IoTDBFireboltGoogle Cloud BigtableMaxDB infoformerly named Adabas-DTimesTen
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