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DBMS > Apache IoTDB vs. Elasticsearch vs. Graphite vs. HugeGraph vs. Ignite

System Properties Comparison Apache IoTDB vs. Elasticsearch vs. Graphite vs. HugeGraph vs. Ignite

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonGraphite  Xexclude from comparisonHugeGraph  Xexclude from comparisonIgnite  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 FlinkA 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 metricData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA fast-speed and highly-scalable Graph DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelTime Series DBMSSearch engineTime Series DBMSGraph DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score4.75
Rank#75  Overall
#5  Time Series DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Websiteiotdb.apache.orgwww.elastic.co/­elasticsearchgithub.com/­graphite-project/­graphite-webgithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgraphite.readthedocs.iohugegraph.apache.org/­docsapacheignite.readme.io/­docs
DeveloperApache Software FoundationElasticChris DavisBaiduApache Software Foundation
Initial release20182010200620182015
Current release1.1.0, April 20238.6, January 20230.9Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoElastic LicenseOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaPythonJavaC++, Java, .Net
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMLinux
Unix
Linux
macOS
Unix
Linux
OS X
Solaris
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.nonononoyes
Secondary indexesyesyes infoAll search fields are automatically indexednoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenonoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP/JSON API
HTTP API
Sockets
Java API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaScript (Node.js)
Python
Groovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyesnoasynchronous Gremlin script jobsyes (compute grid and cache interceptors can be used instead)
Triggersyesyes infoby using the 'percolation' featurenonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparkES-Hadoop Connectornovia hugegraph-sparkyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
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 integrationyesyes
User concepts infoAccess controlyesnoUsers, roles and permissionsSecurity Hooks for custom implementations

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More resources
Apache IoTDBElasticsearchGraphiteHugeGraphIgnite
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