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DBMS > Apache IoTDB vs. InfinityDB vs. MonetDB vs. Qdrant vs. RavenDB

System Properties Comparison Apache IoTDB vs. InfinityDB vs. MonetDB vs. Qdrant vs. RavenDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparisonRavenDB  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 FlinkA Java embedded Key-Value Store which extends the Java Map interfaceA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matchingOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelTime Series DBMSKey-value storeRelational DBMSVector DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websiteiotdb.apache.orgboilerbay.comwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
ravendb.net
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlboilerbay.com/­infinitydb/­manualwww.monetdb.org/­Documentationqdrant.tech/­documentationravendb.net/­docs
DeveloperApache Software FoundationBoiler Bay Inc.MonetDB BVQdrantHibernating Rhinos
Initial release20182002200420212010
Current release1.1.0, April 20234.0Dec2023 (11.49), December 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCRustC#
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesNumbers, 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.nonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL 2003 with some extensionsnoSQL-like query language (RQL)
APIs and other access methodsJDBC
Native API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes, in SQL, C, Ryes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding via remote tablesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnonenone infoSource-replica replication available in experimental statusCollection-level replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency, tunable consistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID, Cluster-wide transaction available
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.yesnoyes
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardKey-based authenticationAuthorization levels configured per client per database

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More resources
Apache IoTDBInfinityDBMonetDBQdrantRavenDB
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