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DBMS > GreptimeDB vs. Ignite vs. Oracle Berkeley DB vs. SpaceTime

System Properties Comparison GreptimeDB vs. Ignite vs. Oracle Berkeley DB vs. SpaceTime

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonIgnite  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Widely used in-process key-value storeSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitegreptime.comignite.apache.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.mireo.com/­spacetime
Technical documentationdocs.greptime.comapacheignite.readme.io/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperGreptime Inc.Apache Software FoundationOracle infooriginally developed by Sleepycat, which was acquired by OracleMireo
Initial release2022201519942020
Current releaseApache Ignite 2.618.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++, Java, .NetC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyes infoSQL interfaced based on SQLite is availableA subset of ANSI SQL is implemented
APIs and other access methodsgRPC
HTTP API
JDBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C#
C++
Java
PHP
Python
Ruby
Scala
.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#
C++
Python
Server-side scripts infoStored proceduresPythonyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)yes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesno
User concepts infoAccess controlSimple rights management via user accountsSecurity Hooks for custom implementationsnoyes
More information provided by the system vendor
GreptimeDBIgniteOracle Berkeley DBSpaceTime
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» 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

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GreptimeDBIgniteOracle Berkeley DBSpaceTime
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