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DBMS > Apache IoTDB vs. HugeGraph vs. Ignite

System Properties Comparison Apache IoTDB vs. HugeGraph vs. Ignite

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkA 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 DBMSGraph DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#253  Overall
#20  Time Series DBMS
Score0.22
Rank#286  Overall
#22  Graph DBMS
Score7.09
Rank#60  Overall
#7  Key-value stores
#35  Relational DBMS
Websiteiotdb.apache.orggithub.com/­hugegraphignite.apache.org
Technical documentationhugegraph.github.io/­hugegraph-docapacheignite.readme.io/­docs
DeveloperApache Software FoundationBaiduApache Software Foundation
Initial release201820182015
Current release0.9Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Java, .Net
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Unix
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query languagenoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGroovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyes (compute grid and cache interceptors can be used instead)
Triggersnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes 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 Sparkvia hugegraph-sparkyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoUsers, roles and permissionsSecurity Hooks for custom implementations

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More resources
Apache IoTDBHugeGraphIgnite
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