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DBMS > Apache IoTDB vs. Geode vs. Greenplum vs. Hawkular Metrics vs. TimesTen

System Properties Comparison Apache IoTDB vs. Geode vs. Greenplum vs. Hawkular Metrics vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGeode  Xexclude from comparisonGreenplum  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTimesTen  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 FlinkGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSKey-value storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteiotdb.apache.orggeode.apache.orggreenplum.orgwww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgeode.apache.org/­docsdocs.greenplum.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Pivotal Software Inc.Community supported by Red HatOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182002200520141998
Current release1.1.0, April 20231.1, February 20177.0.0, September 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infosince Version 4.2nono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (OQL)yesnoyes
APIs and other access methodsJDBC
Native API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
HTTP RESTJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
Java
Perl
Python
R
Go
Java
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesuser defined functionsyesnoPL/SQL
Triggersyesyes infoCache Event Listenersyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replicationSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlyesAccess rights per client and object definablefine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Apache IoTDBGeodeGreenplumHawkular MetricsTimesTen
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