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DBMS > Geode vs. Google Cloud Spanner vs. KeyDB vs. Typesense

System Properties Comparison Geode vs. Google Cloud Spanner vs. KeyDB vs. Typesense

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonKeyDB  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelKey-value storeRelational DBMSKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.79
Rank#210  Overall
#14  Search engines
Websitegeode.apache.orgcloud.google.com/­spannergithub.com/­Snapchat/­KeyDB
keydb.dev
typesense.org
Technical documentationgeode.apache.org/­docscloud.google.com/­spanner/­docsdocs.keydb.devtypesense.org/­docs
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleEQ Alpha Technology Ltd.
Initial release2002201720192015
Current release1.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoBSD-3Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinuxLinux
Data schemeschema-freeyesschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyespartial 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.nonono
Secondary indexesnoyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLSQL-like query language (OQL)yes infoQuery statements complying to ANSI 2011nono
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript (Node.js)
Python
C
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
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functionsnoLuano
Triggersyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACID infoStrict serializable isolationOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyesyes
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access control and ACL

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More resources
GeodeGoogle Cloud SpannerKeyDBTypesense
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