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

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

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAxibase  Xexclude from comparisonInfinityDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTDengine  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 interfaceOpen-source Time Series DBMS and monitoring systemTime Series DBMS and big data platform
Primary database modelGraph DBMS
RDF store
Time Series DBMSKey-value storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational 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
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­neptuneaxibase.com/­docs/­atsd/­financeboilerbay.comprometheus.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesboilerbay.com/­infinitydb/­manualprometheus.io/­docsdocs.tdengine.com
DeveloperAmazonAxibase CorporationBoiler Bay Inc.TDEngine, previously Taos Data
Initial release20172013200220152019
Current release155854.03.0, August 2022
License infoCommercial or Open Sourcecommercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC
Server operating systemshostedLinuxAll OS with a Java VMLinux
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 arraysNumeric data onlyyes
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.nononono infoImport of XML data possibleno
Secondary indexesnonono infomanual creation possible, using inversions based on multi-value capabilitynono
SQL infoSupport of SQLnoSQL-like query languagenonoStandard SQL with extensions for time-series applications
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)
RESTful HTTP/JSON APIJDBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Java
PHP
Python
R
Ruby
Java.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesnonono
Triggersnoyesnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding
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 replicationnoneyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDnone
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
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)nonoyes
More information provided by the system vendor
Amazon NeptuneAxibaseInfinityDBPrometheusTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Amazon NeptuneAxibaseInfinityDBPrometheusTDengine
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