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DBMS > Microsoft Azure Cosmos DB vs. Stardog vs. TDengine vs. Tkrzw vs. YugabyteDB

System Properties Comparison Microsoft Azure Cosmos DB vs. Stardog vs. TDengine vs. Tkrzw vs. YugabyteDB

Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonStardog  Xexclude from comparisonTDengine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS and big data platformA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
RDF store
Time Series DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score29.85
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Score3.11
Rank#99  Overall
#51  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbwww.stardog.comgithub.com/­taosdata/­TDengine
tdengine.com
dbmx.net/­tkrzwwww.yugabyte.com
Technical documentationlearn.microsoft.com/­azure/­cosmos-dbdocs.stardog.comdocs.tdengine.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperMicrosoftStardog-UnionTDEngine, previously Taos DataMikio HirabayashiYugabyte Inc.
Initial release20142010201920202017
Current release7.3.0, May 20203.0, August 20220.9.3, August 20202.19, September 2023
License infoCommercial or Open Sourcecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3, also commercial editions availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaCC++C and C++
Server operating systemshostedLinux
macOS
Windows
Linux
Windows
Linux
macOS
Linux
OS X
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyes infoJSON typesyesyesnoyes
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.no infoImport/export of XML data possiblenonono
Secondary indexesyes infoAll properties auto-indexed by defaultyes infosupports real-time indexing in full-text and geospatialnoyes
SQL infoSupport of SQLSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL ServerStandard SQL with extensions for time-series applicationsnoyes, PostgreSQL compatible
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
RESTful HTTP API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresJavaScriptuser defined functions and aggregates, HTTP Server extensions in Javanonoyes infosql, plpgsql, C
TriggersJavaScriptyes infovia event handlersyes, via alarm monitoringnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication in HA-ClusteryesnoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency in HA-ClusterImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyes inforelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classesno
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights for users and rolesyesnoyes
More information provided by the system vendor
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBStardogTDengineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
Apache 2.0 license for the database
» more
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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBStardogTDengineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
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