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DBMS > Apache IoTDB vs. ArangoDB vs. Elasticsearch vs. EsgynDB vs. Fujitsu Enterprise Postgres

System Properties Comparison Apache IoTDB vs. ArangoDB vs. Elasticsearch vs. EsgynDB vs. Fujitsu Enterprise Postgres

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonArangoDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonFujitsu Enterprise Postgres  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 FlinkNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Search engine
Search engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score132.83
Rank#7  Overall
#1  Search engines
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Websiteiotdb.apache.orgarangodb.comwww.elastic.co/­elasticsearchwww.esgyn.cnwww.postgresql.fastware.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.arangodb.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.postgresql.fastware.com/­product-manuals
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperApache Software FoundationArangoDB Inc.ElasticEsgynPostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release2018201220102015
Current release1.1.0, April 20233.11.5, November 20238.6, January 2023Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoElastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++, JavaC
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
All OS with a Java VMLinuxLinux
Windows
Data schemeyesschema-free infoautomatically recognizes schema within a collectionschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyesyesyes
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 indexesyesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyesyes
APIs and other access methodsJDBC
Native API
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesJavaScriptyesJava Stored Proceduresuser defined functions
Triggersyesnoyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infosince version 2.0ShardingShardingpartitioning by range, list and by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replication with configurable replication factoryesMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkno infocan be done with stored procedures in JavaScriptES-Hadoop Connectoryesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationno
User concepts infoAccess controlyesyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBArangoDBElasticsearchEsgynDBFujitsu Enterprise Postgres
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
Apache IoTDBArangoDBElasticsearchEsgynDBFujitsu Enterprise Postgres
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