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DBMS > EsgynDB vs. KairosDB vs. Lovefield vs. Microsoft Access vs. Spark SQL

System Properties Comparison EsgynDB vs. KairosDB vs. Lovefield vs. Microsoft Access vs. Spark SQL

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonKairosDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDistributed Time Series DBMS based on Cassandra or H2Embeddable relational database for web apps written in pure JavaScriptMicrosoft 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.)Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.esgyn.cngithub.com/­kairosdb/­kairosdbgoogle.github.io/­lovefieldwww.microsoft.com/­en-us/­microsoft-365/­accessspark.apache.org/­sql
Technical documentationkairosdb.github.iogithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddeveloper.microsoft.com/­en-us/­accessspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEsgynGoogleMicrosoftApache Software Foundation
Initial release20152013201419922014
Current release1.2.2, November 20182.1.12, February 20171902 (16.0.11328.20222), March 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaJavaScriptC++Scala
Server operating systemsLinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeyesschema-freeyesyesyes
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.nononono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesnoSQL-like query language infovia JavaScript builder patternyes infobut not compliant to any SQL standardSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
JavaScript infoNode.js
PHP
Python
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresnonoyes infosince Access 2010 using the ACE-engineno
TriggersnonoUsing read-only observersyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor infobased on Cassandranonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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.nonoyes infousing MemoryDBno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlnono infoa simple user-level security was built in till version Access 2003no

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More resources
EsgynDBKairosDBLovefieldMicrosoft AccessSpark SQL
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