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DBMS > Amazon Neptune vs. Axibase vs. InfinityDB vs. JanusGraph vs. Prometheus

System Properties Comparison Amazon Neptune vs. Axibase vs. InfinityDB vs. JanusGraph vs. Prometheus

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAxibase  Xexclude from comparisonInfinityDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA Java embedded Key-Value Store which extends the Java Map interfaceA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open-source Time Series DBMS and monitoring system
Primary database modelGraph DBMS
RDF store
Time Series DBMSKey-value storeGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteaws.amazon.com/­neptuneaxibase.com/­docs/­atsd/­financeboilerbay.comjanusgraph.orgprometheus.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesboilerbay.com/­infinitydb/­manualdocs.janusgraph.orgprometheus.io/­docs
DeveloperAmazonAxibase CorporationBoiler Bay Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release20172013200220172015
Current release155854.00.6.3, February 2023
License infoCommercial or Open Sourcecommercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaGo
Server operating systemshostedLinuxAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
Windows
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesNumeric data only
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.nonononono infoImport of XML data possible
Secondary indexesnonono infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLnoSQL-like query languagenonono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Java
PHP
Python
R
Ruby
JavaClojure
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyesno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Source-replica replicationnoneyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infomanual creation possible, using inversions based on multi-value capabilityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUser authentification and security via Rexster Graph Serverno

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More resources
Amazon NeptuneAxibaseInfinityDBJanusGraph infosuccessor of TitanPrometheus
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