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DBMS > Apache IoTDB vs. Cloudflare Workers KV vs. HBase vs. Titan

System Properties Comparison Apache IoTDB vs. Cloudflare Workers KV vs. HBase vs. Titan

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonHBase  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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 global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Wide-column store based on Apache Hadoop and on concepts of BigTableTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSKey-value storeWide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websiteiotdb.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvhbase.apache.orggithub.com/­thinkaurelius/­titan
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldevelopers.cloudflare.com/­kv/­apihbase.apache.org/­book.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software FoundationCloudflareApache Software Foundation infoApache top-level project, originally developed by PowersetAurelius, owned by DataStax
Initial release2018201820082012
Current release1.1.0, April 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROyes
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 indexesyesnonoyes
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJDBC
Native API
HTTP REST
Proprietary protocol
Java API
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresyesnoyes infoCoprocessors in Javayes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUser authentification and security via Rexster Graph Server

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Apache IoTDBCloudflare Workers KVHBaseTitan
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