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DBMS > EJDB vs. InfinityDB vs. Prometheus vs. Sadas Engine vs. TimescaleDB

System Properties Comparison EJDB vs. InfinityDB vs. Prometheus vs. Sadas Engine vs. TimescaleDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSadas Engine  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A Java embedded Key-Value Store which extends the Java Map interfaceOpen-source Time Series DBMS and monitoring systemSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeKey-value storeTime Series DBMSRelational 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
Score0.00
Rank#383  Overall
#59  Key-value stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbboilerbay.comprometheus.iowww.sadasengine.comwww.timescale.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdboilerbay.com/­infinitydb/­manualprometheus.io/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.timescale.com
DeveloperSoftmotionsBoiler Bay Inc.SADAS s.r.l.Timescale
Initial release20122002201520062017
Current release4.08.02.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0commercial infofree trial version availableOpen Source infoApache 2.0
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 languageCJavaGoC++C
Server operating systemsserver-lessAll OS with a Java VMLinux
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysNumeric data onlyyesnumerics, 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 possiblenoyes
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilitynoyesyes
SQL infoSupport of SQLnononoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsin-process shared libraryAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP/JSON APIJDBC
ODBC
Proprietary protocol
ADO.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.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
.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 nodesnonenoneShardinghorizontal partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoby FederationnoneSource-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 Consistency infoREAD-COMMITTED or SERIALIZEDnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleno infomanual creation possible, using inversions based on multi-value capabilitynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlnononoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EJDBInfinityDBPrometheusSadas EngineTimescaleDB
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