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DBMS > Apache IoTDB vs. CockroachDB vs. GeoSpock vs. Qdrant vs. TerarkDB

System Properties Comparison Apache IoTDB vs. CockroachDB vs. GeoSpock vs. Qdrant vs. TerarkDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonQdrant  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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.Spatial and temporal data processing engine for extreme data scaleA high-performance vector database with neural network or semantic-based matchingA 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 DBMSRelational DBMSRelational DBMSVector DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteiotdb.apache.orgwww.cockroachlabs.comgeospock.comgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­bytedance/­terarkdb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.cockroachlabs.com/­docsqdrant.tech/­documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationCockroach LabsGeoSpockQdrantByteDance, originally Terark
Initial release2018201520212016
Current release1.1.0, April 202324.1.0, May 20242.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache Version 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava, JavascriptRustC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
hostedDocker
Linux
macOS
Windows
Data schemeyesdynamic schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Booleanno
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 indexesyesyestemporal, categoricalyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLSQL-like query languageyes, wire compatible with PostgreSQLANSI SQL for query only (using Presto)nono
APIs and other access methodsJDBC
Native API
JDBCJDBCgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
C++ API
Java 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)
Python
Rust
C++
Java
Server-side scripts infoStored proceduresyesnonono
Triggersyesnonono
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 RAFTAutomatic shardingShardingnone
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 RAFTCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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.yesnonoyesyes
User concepts infoAccess controlyesRole-based access controlAccess rights for users can be defined per tableKey-based authenticationno

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More resources
Apache IoTDBCockroachDBGeoSpockQdrantTerarkDB
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