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DBMS > Coveo vs. etcd vs. Hawkular Metrics vs. Quasardb vs. Sqrrl

System Properties Comparison Coveo vs. etcd vs. Hawkular Metrics vs. Quasardb vs. Sqrrl

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonetcd  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonQuasardb  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA distributed reliable key-value storeHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed, high-performance timeseries databaseAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelSearch engineKey-value storeTime Series DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.coveo.cometcd.io
github.com/­etcd-io/­etcd
www.hawkular.orgquasar.aisqrrl.com
Technical documentationdocs.coveo.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.hawkular.org/­hawkular-metrics/­docs/­user-guidedoc.quasar.ai/­master
DeveloperCoveoCommunity supported by Red HatquasardbAmazon infooriginally Sqrrl Data, Inc.
Initial release2012201420092012
Current release3.4, August 20193.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++Java
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infointeger and binaryyes
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 indexesyesnonoyes infowith tagsyes
SQL infoSupport of SQLnononoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIgRPC
JSON over HTTP
HTTP RESTHTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonononono
Triggersyesyes, watching key changesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesyesSharding infobased on CassandraSharding infoconsistent hashingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infobased on CassandraSource-replica replication with selectable replication factorselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlgranular access controls, API key management, content filtersnonoCryptographically strong user authentication and audit trailCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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CoveoetcdHawkular MetricsQuasardbSqrrl
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