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DBMS > EJDB vs. Informix vs. Prometheus vs. Quasardb vs. Teradata

System Properties Comparison EJDB vs. Informix vs. Prometheus vs. Quasardb vs. Teradata

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonInformix  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.ibm.com/­products/­informixprometheus.ioquasar.aiwww.teradata.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
prometheus.io/­docsdoc.quasar.ai/­masterdocs.teradata.com
DeveloperSoftmotionsIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.quasardbTeradata
Initial release20121984201520091984
Current release14.10.FC5, November 20203.14.1, January 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoGPLv2commercial infofree developer edition availableOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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 languageCC, C++ and JavaGoC++
Server operating systemsserver-lessAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
BSD
Linux
OS X
Windows
hosted
Linux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes infoSince Version 12.10 support for JSON/BSON datatypesNumeric data onlyyes infointeger and binaryyes
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.no infoImport of XML data possiblenoyes
Secondary indexesnoyesnoyes infowith tagsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesnoSQL-like query languageyes infoSQL 2016 + extensions
APIs and other access methodsin-process shared libraryJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIHTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoconsistent hashingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes infoby FederationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate 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 datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyes
User concepts infoAccess controlnoUsers with fine-grained authentication, authorization, and auditing controlsnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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