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DBMS > Apache IoTDB vs. Kingbase vs. Memcached vs. SAP HANA vs. TypeDB

System Properties Comparison Apache IoTDB vs. Kingbase vs. Memcached vs. SAP HANA vs. TypeDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonKingbase  Xexclude from comparisonMemcached  Xexclude from comparisonSAP HANA  Xexclude from comparisonTypeDB infoformerly named Grakn  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 enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.In-memory key-value store, originally intended for cachingIn-memory, column based data store. Available as appliance or cloud serviceTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSRelational DBMSKey-value storeRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score0.45
Rank#265  Overall
#124  Relational DBMS
Score20.74
Rank#32  Overall
#4  Key-value stores
Score45.84
Rank#22  Overall
#16  Relational DBMS
Score0.81
Rank#217  Overall
#19  Graph DBMS
#99  Relational DBMS
Websiteiotdb.apache.orgwww.kingbase.com.cnwww.memcached.orgwww.sap.com/­products/­hana.htmltypedb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­memcached/­memcached/­wikihelp.sap.com/­hanatypedb.com/­docs
DeveloperApache Software FoundationBeiJing KINGBASE Information technologies inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSAPVaticle
Initial release20181999200320102016
Current release1.1.0, April 2023V8.0, August 20211.6.25, March 20242.0 SPS07 (April 4, 2023), April 20232.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD licensecommercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and JavaCJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
FreeBSD
Linux
OS X
Unix
Windows
Appliance or cloud-serviceLinux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.noyesnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsnoyesno
APIs and other access methodsJDBC
Native API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Proprietary protocolJDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesuser defined functionsnoSQLScript, Rno
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by range, list and hash) and vertical partitioningnoneyesSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnone infoRepcached, a Memcached patch, provides this functionallityyesMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolyesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Apache IoTDBKingbaseMemcachedSAP HANATypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Apache IoTDBKingbaseMemcachedSAP HANATypeDB infoformerly named Grakn
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