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DBMS > GreptimeDB vs. Oracle Berkeley DB vs. QuestDB

System Properties Comparison GreptimeDB vs. Oracle Berkeley DB vs. QuestDB

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyWidely used in-process key-value storeA high performance open source SQL database for time series data
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#368  Overall
#37  Time Series DBMS
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websitegreptime.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquestdb.io
Technical documentationdocs.greptime.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlquestdb.io/­docs
DeveloperGreptime Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleQuestDB Technology Inc
Initial release202219942014
Current release18.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC, Java, C++ (depending on the Berkeley DB edition)Java (Zero-GC), C++, Rust
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Data schemeschema-free, schema definition possibleschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesnoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesno
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availableSQL with time-series extensions
APIs and other access methodsgRPC
HTTP API
JDBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresPythonnono
Triggersyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlSimple rights management via user accountsno
More information provided by the system vendor
GreptimeDBOracle Berkeley DBQuestDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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GreptimeDBOracle Berkeley DBQuestDB
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