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DBMS > EJDB vs. FeatureBase vs. Netezza vs. Prometheus vs. TimescaleDB

System Properties Comparison EJDB vs. FeatureBase vs. Netezza vs. Prometheus vs. TimescaleDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPrometheus  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Data warehouse and analytics appliance part of IBM PureSystemsOpen-source Time Series DBMS and monitoring systemA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#331  Overall
#46  Document stores
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbwww.featurebase.comwww.ibm.com/­products/­netezzaprometheus.iowww.timescale.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.featurebase.comprometheus.io/­docsdocs.timescale.com
DeveloperSoftmotionsMolecula and Pilosa Open Source ContributorsIBMTimescale
Initial release20122017200020152017
Current release2022, May 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGoGoC
Server operating systemsserver-lessLinux
macOS
Linux infoincluded in applianceLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesNumeric 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.nono infoImport of XML data possibleyes
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnoSQL queriesyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsin-process shared librarygRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
OLE DB
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.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 proceduresnoyesnouser 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 nodesnoneShardingShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationyes infoby FederationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoUsers with fine-grained authorization conceptnofine grained access rights according to SQL-standard

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More resources
EJDBFeatureBaseNetezza infoAlso called PureData System for Analytics by IBMPrometheusTimescaleDB
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