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DBMS > Apache IoTDB vs. Dgraph vs. Transbase vs. YugabyteDB

System Properties Comparison Apache IoTDB vs. Dgraph vs. Transbase vs. YugabyteDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDgraph  Xexclude from comparisonTransbase  Xexclude from comparisonYugabyteDB  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 FlinkDistributed and scalable native Graph DBMSA resource-optimized, high-performance, universally applicable RDBMSHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelTime Series DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websiteiotdb.apache.orgdgraph.iowww.transaction.de/­en/­products/­transbase.htmlwww.yugabyte.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldgraph.io/­docswww.transaction.de/­en/­products/­transbase/­features.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software FoundationDgraph Labs, Inc.Transaction Software GmbHYugabyte Inc.
Initial release2018201619872017
Current release1.1.0, April 2023Transbase 8.3, 20222.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree development licenseOpen Source infoApache 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.
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 languageJavaGoC and C++C and C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Linux
OS X
Data schemeyesschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyes, PostgreSQL compatible
APIs and other access methodsJDBC
Native API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Proprietary native 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 languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesnoyesyes infosql, plpgsql, C
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)yesHash and Range Sharding, row-level geo-partitioning
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 via RaftSource-replica replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
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 ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyesno infoPlanned for future releasesfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Apache IoTDBDgraphTransbaseYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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Apache IoTDBDgraphTransbaseYugabyteDB
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