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DBMS > Cachelot.io vs. etcd vs. eXtremeDB vs. Ingres vs. Solr

System Properties Comparison Cachelot.io vs. etcd vs. eXtremeDB vs. Ingres vs. Solr

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonIngres  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionIn-memory caching systemA distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringWell established RDBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeKey-value storeRelational DBMS
Time Series DBMS
Relational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#397  Overall
#64  Key-value stores
Score7.66
Rank#55  Overall
#6  Key-value stores
Score0.66
Rank#239  Overall
#109  Relational DBMS
#20  Time Series DBMS
Score5.15
Rank#74  Overall
#40  Relational DBMS
Score43.91
Rank#24  Overall
#3  Search engines
Websitecachelot.ioetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comwww.actian.com/­databases/­ingressolr.apache.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmdocs.actian.com/­ingressolr.apache.org/­resources.html
DeveloperMcObjectActian CorporationApache Software Foundation
Initial release201520011974 infooriginally developed at University Berkely in early 1970s2006
Current release3.4, August 20198.2, 202111.2, May 20229.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2
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++GoC and C++CJava
Server operating systemsFreeBSD
Linux
OS X
FreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenonoyesyesyes infosupports customizable data types and automatic typing
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.nonono infosupport of XML interfaces availableno infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesnonoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyes infowith the option: eXtremeSQLyesSolr Parallel SQL Interface
APIs and other access methodsMemcached protocolgRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyesyesJava plugins
Triggersnoyes, watching key changesyes infoby defining eventsyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Ingres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes infoMVCCyes
Durability infoSupport for making data persistentnoyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardyes
More information provided by the system vendor
Cachelot.ioetcdeXtremeDBIngresSolr
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
Cachelot.ioetcdeXtremeDBIngresSolr
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