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DBMS > DuckDB vs. GridDB vs. Hypertable vs. InfinityDB vs. LevelDB

System Properties Comparison DuckDB vs. GridDB vs. Hypertable vs. InfinityDB vs. LevelDB

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonGridDB  Xexclude from comparisonHypertable  Xexclude from comparisonInfinityDB  Xexclude from comparisonLevelDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSScalable in-memory time series database optimized for IoT and Big DataAn open source BigTable implementation based on distributed file systems such as HadoopA Java embedded Key-Value Store which extends the Java Map interfaceEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSTime Series DBMSWide column storeKey-value storeKey-value store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Websiteduckdb.orggriddb.netboilerbay.comgithub.com/­google/­leveldb
Technical documentationduckdb.org/­docsdocs.griddb.netboilerbay.com/­infinitydb/­manualgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperToshiba CorporationHypertable Inc.Boiler Bay Inc.Google
Initial release20182013200920022011
Current release1.0.0, June 20245.1, August 20220.9.8.11, March 20164.01.23, February 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoBSD
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 languageC++C++C++JavaC++
Server operating systemsserver-lessLinuxLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VMIllumos
Linux
OS X
Windows
Data schemeyesyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysno
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 indexesyesyesrestricted infoonly exact value or prefix value scansno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)nonono
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
C++ API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnonononono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor on file system levelnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAccess rights for users can be defined per databasenonono
More information provided by the system vendor
DuckDBGridDBHypertableInfinityDBLevelDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
DuckDBGridDBHypertableInfinityDBLevelDB
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