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DBMS > EsgynDB vs. EXASOL vs. Hawkular Metrics vs. Lovefield

System Properties Comparison EsgynDB vs. EXASOL vs. Hawkular Metrics vs. Lovefield

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonEXASOL  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Embeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitewww.esgyn.cnwww.exasol.comwww.hawkular.orggoogle.github.io/­lovefield
Technical documentationwww.exasol.com/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperEsgynExasolCommunity supported by Red HatGoogle
Initial release2015200020142014
Current release2.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaJavaScript
Server operating systemsLinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesschema-freeyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
Lua
Python
R
Go
Java
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsnono
Triggersnoyesyes infovia Hawkular AlertingUsing read-only observers
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 datacentersselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnono

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More resources
EsgynDBEXASOLHawkular MetricsLovefield
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