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DBMS > Apache IoTDB vs. GreptimeDB vs. Manticore Search vs. Qdrant

System Properties Comparison Apache IoTDB vs. GreptimeDB vs. Manticore Search vs. Qdrant

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonManticore Search  Xexclude from comparisonQdrant  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 open source Time Series DBMS built for increased scalability, high performance and efficiencyMulti-storage database for search, including full-text search.A high-performance vector database with neural network or semantic-based matching
Primary database modelTime Series DBMSTime Series DBMSSearch engineVector DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteiotdb.apache.orggreptime.commanticoresearch.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.greptime.commanual.manticoresearch.comqdrant.tech/­documentation
DeveloperApache Software FoundationGreptime Inc.Manticore SoftwareQdrant
Initial release2018202220172021
Current release1.1.0, April 20236.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPL version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC++Rust
Server operating systemsAll OS with a Java VM (>= 1.8)Android
Docker
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
macOS
Windows
Docker
Linux
macOS
Windows
Data schemeyesschema-free, schema definition possibleFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanNumbers, Strings, Geo, Boolean
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.nonoCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageno
APIs and other access methodsJDBC
Native API
gRPC
HTTP API
JDBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++
Erlang
Go
Java
JavaScript
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesPythonuser defined functions
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSynchronous replication based on Galera libraryCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesSimple rights management via user accountsnoKey-based authentication
More information provided by the system vendor
Apache IoTDBGreptimeDBManticore SearchQdrant
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Apache IoTDBGreptimeDBManticore SearchQdrant
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