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DBMS > BoltDB vs. Google Cloud Bigtable vs. H2GIS vs. KeyDB vs. Sqrrl

System Properties Comparison BoltDB vs. Google Cloud Bigtable vs. H2GIS vs. KeyDB vs. Sqrrl

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparisonKeyDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Spatial extension of H2An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeKey-value store
Wide column store
Spatial DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitegithub.com/­boltdb/­boltcloud.google.com/­bigtablewww.h2gis.orggithub.com/­Snapchat/­KeyDB
keydb.dev
sqrrl.com
Technical documentationcloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­homedocs.keydb.dev
DeveloperGoogleCNRSEQ Alpha Technology Ltd.Amazon infooriginally Sqrrl Data, Inc.
Initial release20132015201320192012
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoLGPL 3.0Open Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinuxLinux
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenonoyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 indexesnonoyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocol infoRESP - REdis Serialization ProtocoAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGoC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoyes infobased on H2Luano
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2Multi-source replication
Source-replica replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsACIDOptimistic locking, atomic execution of commands blocks and scriptsAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2simple password-based access control and ACLCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BoltDBGoogle Cloud BigtableH2GISKeyDBSqrrl
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