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DBMS > BigObject vs. Coveo vs. Hawkular Metrics vs. YugabyteDB

System Properties Comparison BigObject vs. Coveo vs. Hawkular Metrics vs. YugabyteDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCoveo  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedSearch engineTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitebigobject.iowww.coveo.comwww.hawkular.orgwww.yugabyte.com
Technical documentationdocs.bigobject.iodocs.coveo.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperBigObject, Inc.CoveoCommunity supported by Red HatYugabyte Inc.
Initial release2015201220142017
Current release2.19, September 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaC and C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
OS X
Windows
Linux
OS X
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freedepending on used data model
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 SQLSQL-like DML and DDL statementsnonoyes, PostgreSQL compatible
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP RESTJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC#
Java
JavaScript
Python
Go
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresLuanonoyes infosql, plpgsql, C
Triggersnoyesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding infobased on CassandraHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infobased on CassandraBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnogranular access controls, API key management, content filtersnoyes
More information provided by the system vendor
BigObjectCoveoHawkular MetricsYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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BigObjectCoveoHawkular MetricsYugabyteDB
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