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DBMS > Cachelot.io vs. Databend vs. EsgynDB vs. Greenplum vs. Lovefield

System Properties Comparison Cachelot.io vs. Databend vs. EsgynDB vs. Greenplum vs. Lovefield

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDatabend  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionIn-memory caching systemAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Embeddable relational database for web apps written in pure JavaScript
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitecachelot.iogithub.com/­datafuselabs/­databend
www.databend.com
www.esgyn.cngreenplum.orggoogle.github.io/­lovefield
Technical documentationdocs.databend.comdocs.greenplum.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDatabend LabsEsgynPivotal Software Inc.Google
Initial release20152021201520052014
Current release1.0.59, April 20237.0.0, September 20232.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0
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++RustC++, JavaJavaScript
Server operating systemsFreeBSD
Linux
OS X
hosted
Linux
macOS
LinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyes infosince Version 4.2no
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoyesyesyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsMemcached protocolCLI Client
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresnonoJava Stored Proceduresyesno
TriggersnononoyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication between multi datacentersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes, 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.nononoyes infousing MemoryDB
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Cachelot.ioDatabendEsgynDBGreenplumLovefield
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