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DBMS > Amazon Neptune vs. EJDB vs. OpenTSDB vs. Prometheus vs. TimescaleDB

System Properties Comparison Amazon Neptune vs. EJDB vs. OpenTSDB vs. Prometheus vs. TimescaleDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEJDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Scalable Time Series DBMS based on HBaseOpen-source Time Series DBMS and monitoring systemA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMS
RDF store
Document storeTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score0.30
Rank#294  Overall
#44  Document stores
Score1.73
Rank#147  Overall
#12  Time Series DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websiteaws.amazon.com/­neptunegithub.com/­Softmotions/­ejdbopentsdb.netprometheus.iowww.timescale.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docsdocs.timescale.com
DeveloperAmazonSoftmotionscurrently maintained by Yahoo and other contributorsTimescale
Initial release20172012201120152017
Current release2.13.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoLGPLOpen 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 languageCJavaGoC
Server operating systemshostedserver-lessLinux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idnumeric data for metrics, strings for tagsNumeric data onlynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonono infoImport of XML data possibleyes
Secondary indexesnonononoyes
SQL infoSupport of SQLnonononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
in-process shared libraryHTTP API
Telnet API
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonononouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on HBaseShardingyes, across time and space (hash partitioning) attributes
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.noneselectable replication factor infobased on HBaseyes infoby FederationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBasenoneImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nononofine grained access rights according to SQL-standard

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More resources
Amazon NeptuneEJDBOpenTSDBPrometheusTimescaleDB
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