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DBMS > EsgynDB vs. GridGain vs. Hawkular Metrics vs. Microsoft Access vs. SurrealDB

System Properties Comparison EsgynDB vs. GridGain vs. Hawkular Metrics vs. Microsoft Access vs. SurrealDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGridGain is an in-memory computing platform, built on Apache IgniteHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitewww.esgyn.cnwww.gridgain.comwww.hawkular.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssurrealdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­accesssurrealdb.com/­docs
DeveloperEsgynGridGain Systems, Inc.Community supported by Red HatMicrosoftSurrealDB Ltd
Initial release20152007201419922022
Current releaseGridGain 8.5.11902 (16.0.11328.20222), March 2019v1.1.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source
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 languageC++, JavaJava, C++, .NetJavaC++Rust
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTADO.NET
DAO
ODBC
OLE DB
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)noyes infosince Access 2010 using the ACE-engine
Triggersnoyes (cache interceptors and events)yes infovia Hawkular Alertingyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes (replicated cache)selectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsnono infoa simple user-level security was built in till version Access 2003yes, based on authentication and database rules

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More resources
EsgynDBGridGainHawkular MetricsMicrosoft AccessSurrealDB
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