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DBMS > Apache IoTDB vs. CockroachDB vs. Google Cloud Datastore vs. OpenTSDB

System Properties Comparison Apache IoTDB vs. CockroachDB vs. Google Cloud Datastore vs. OpenTSDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOpenTSDB  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 FlinkCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformScalable Time Series DBMS based on HBase
Primary database modelTime Series DBMSRelational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websiteiotdb.apache.orgwww.cockroachlabs.comcloud.google.com/­datastoreopentsdb.net
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.cockroachlabs.com/­docscloud.google.com/­datastore/­docsopentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software FoundationCockroach LabsGooglecurrently maintained by Yahoo and other contributors
Initial release2018201520082011
Current release1.1.0, April 202323.1.1, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
hostedLinux
Windows
Data schemeyesdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, details herenumeric data for metrics, strings for tags
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyes, wire compatible with PostgreSQLSQL-like query language (GQL)no
APIs and other access methodsJDBC
Native API
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
Telnet API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyesnousing Google App Engineno
TriggersyesnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication using RAFTMulti-source replication using Paxosselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlyesRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Apache IoTDBCockroachDBGoogle Cloud DatastoreOpenTSDB
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