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DBMS > BoltDB vs. Drizzle vs. GridGain vs. OrientDB vs. QuestDB

System Properties Comparison BoltDB vs. Drizzle vs. GridGain vs. OrientDB vs. QuestDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonGridGain  Xexclude from comparisonOrientDB  Xexclude from comparisonQuestDB  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.
DescriptionAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GridGain is an in-memory computing platform, built on Apache IgniteMulti-model DBMS (Document, Graph, Key/Value)A high performance open source SQL database for time series data
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitegithub.com/­boltdb/­boltwww.gridgain.comorientdb.orgquestdb.io
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.orientdb.com/­docs/­last/­index.htmlquestdb.io/­docs
DeveloperDrizzle project, originally started by Brian AkerGridGain Systems, Inc.OrientDB LTD; CallidusCloud; SAPQuestDB Technology Inc
Initial release20132008200720102014
Current release7.2.4, September 2012GridGain 8.5.13.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU GPLcommercialOpen Source infoApache version 2Open 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 languageGoC++Java, C++, .NetJavaJava (Zero-GC), C++, Rust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infoschema-free via InfluxDB Line Protocol
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.noyesnono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joinsSQL with time-series extensions
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesGoC
C++
Java
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)Java, Javascriptno
Triggersnono infohooks for callbacks inside the server can be used.yes (cache interceptors and events)Hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes (replicated cache)Multi-source replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped files
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPSecurity Hooks for custom implementationsAccess rights for users and roles; record level security configurable
More information provided by the system vendor
BoltDBDrizzleGridGainOrientDBQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
BoltDBDrizzleGridGainOrientDBQuestDB
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