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DBMS > EsgynDB vs. GigaSpaces vs. LMDB vs. Microsoft Azure Synapse Analytics vs. TerminusDB

System Properties Comparison EsgynDB vs. GigaSpaces vs. LMDB vs. Microsoft Azure Synapse Analytics vs. TerminusDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeRelational DBMSGraph DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.esgyn.cnwww.gigaspaces.comwww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analyticsterminusdb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.lmdb.tech/­docdocs.microsoft.com/­azure/­synapse-analyticsterminusdb.github.io/­terminusdb/­#
DeveloperEsgynGigaspaces TechnologiesSymasMicrosoftDataChemist Ltd.
Initial release20152000201120162018
Current release15.5, September 20200.9.32, January 202411.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen SourcecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJava, C++, .NetCC++Prolog, Rust
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
Unix
Windows
hostedLinux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsnoyesSQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
Python
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
C#
Java
PHP
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored ProceduresyesnoTransact SQLyes
Triggersnoyes, event driven architecturenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding, horizontal partitioningGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlnoyesRole-based access control

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More resources
EsgynDBGigaSpacesLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTerminusDB infoformer name was DataChemist
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