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DBMS > EsgynDB vs. HarperDB vs. IRONdb vs. LMDB vs. Sadas Engine

System Properties Comparison EsgynDB vs. HarperDB vs. IRONdb vs. LMDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHarperDB  Xexclude from comparisonIRONdb  Xexclude from comparisonLMDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high performant, light-weight, embedded key-value database librarySADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSDocument storeTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.esgyn.cnwww.harperdb.iowww.circonus.com/solutions/time-series-database/www.symas.com/­symas-embedded-database-lmdbwww.sadasengine.com
Technical documentationdocs.harperdb.io/­docsdocs.circonus.com/irondb/category/getting-startedwww.lmdb.tech/­docwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperEsgynHarperDBCirconus LLC.SymasSADAS s.r.l.
Initial release20152017201720112006
Current release3.1, August 2021V0.10.20, January 20180.9.32, January 20248.0
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Sourcecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaNode.jsC and C++CC++
Server operating systemsLinuxLinux
OS X
LinuxLinux
Unix
Windows
AIX
Linux
Windows
Data schemeyesdynamic schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infotext, numeric, histogramsyes
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.nonononono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresJava Stored ProceduresCustom Functions infosince release 3.1yes, in Luanono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterAutomatic, metric affinity per nodenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infothe nodes on which a table resides can be definedconfigurable replication factor, datacenter awarenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
EsgynDBHarperDBIRONdbLMDBSadas Engine
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