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DBMS > BigObject vs. Drizzle vs. Hawkular Metrics vs. Pinecone

System Properties Comparison BigObject vs. Drizzle vs. Hawkular Metrics vs. Pinecone

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPinecone  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A managed, cloud-native vector database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitebigobject.iowww.hawkular.orgwww.pinecone.io
Technical documentationdocs.bigobject.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.pinecone.io/­docs/­overview
DeveloperBigObject, Inc.Drizzle project, originally started by Brian AkerCommunity supported by Red HatPinecone Systems, Inc
Initial release2015200820142019
Current release7.2.4, September 2012
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGNU GPLOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
Linux
OS X
Windows
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsnono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBCHTTP RESTRESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
Python
Server-side scripts infoStored proceduresLuanono
Triggersnono infohooks for callbacks inside the server can be used.yes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
BigObjectDrizzleHawkular MetricsPinecone
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