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DBMS > Apache IoTDB vs. Google Cloud Bigtable vs. Graphite vs. openGauss vs. TerarkDB

System Properties Comparison Apache IoTDB vs. Google Cloud Bigtable vs. Graphite vs. openGauss vs. TerarkDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonopenGauss  Xexclude from comparisonTerarkDB  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 FlinkGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelTime Series DBMSKey-value store
Wide column store
Time Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteiotdb.apache.orgcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webgitee.com/­opengauss
opengauss.org
github.com/­bytedance/­terarkdb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.opengauss.org/­en
gitee.com/­opengauss/­docs
bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationGoogleChris DavisHuawei and openGauss communityByteDance, originally Terark
Initial release20182015200620192016
Current release1.1.0, April 20233.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Sourcecommercial inforestricted open source version available
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 languageJavaPythonC, C++, JavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinux
Unix
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyesno
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 indexesyesnonoyesno
SQL infoSupport of SQLSQL-like query languagenonoANSI SQL 2011no
APIs and other access methodsJDBC
Native API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
JDBC
ODBC
C++ API
Java API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
C
C++
Java
C++
Java
Server-side scripts infoStored proceduresyesnonoyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonehorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnonono
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)noneImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
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.yesnonoyes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users, groups and roles according to SQL-standardno

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More resources
Apache IoTDBGoogle Cloud BigtableGraphiteopenGaussTerarkDB
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