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DBMS > Apache IoTDB vs. BoltDB vs. NebulaGraph vs. RocksDB vs. Splunk

System Properties Comparison Apache IoTDB vs. BoltDB vs. NebulaGraph vs. RocksDB vs. Splunk

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBoltDB  Xexclude from comparisonNebulaGraph  Xexclude from comparisonRocksDB  Xexclude from comparisonSplunk  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 embedded key-value store for Go.A distributed, linear scalable, high perfomant Graph DBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Analytics Platform for Big Data
Primary database modelTime Series DBMSKey-value storeGraph DBMSKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score2.23
Rank#116  Overall
#10  Graph DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score89.10
Rank#14  Overall
#2  Search engines
Websiteiotdb.apache.orggithub.com/­boltdb/­boltgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
rocksdb.orgwww.splunk.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.nebula-graph.iogithub.com/­facebook/­rocksdb/­wikidocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software FoundationVesoft Inc.Facebook, Inc.Splunk Inc.
Initial release20182013201920132003
Current release1.1.0, April 20239.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoBSDcommercial infoLimited free edition and free developer edition available
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 languageJavaGoC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)BSD
Linux
OS X
Solaris
Windows
LinuxLinuxLinux
OS X
Solaris
Windows
Data schemeyesschema-freeStrong typed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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 indexesyesnoyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.noyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languagenono infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
Native API
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
C++ API
Java API
HTTP REST
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go.Net
C++
Go
Java
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnouser defined functionsnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneCausal Clustering using Raft protocolyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDyesno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlyesnoRole-based access controlnoAccess rights for users and roles
More information provided by the system vendor
Apache IoTDBBoltDBNebulaGraphRocksDBSplunk
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Apache IoTDBBoltDBNebulaGraphRocksDBSplunk
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