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DBMS > AlaSQL vs. Drizzle vs. Geode vs. Google Cloud Spanner vs. JanusGraph

System Properties Comparison AlaSQL vs. Drizzle vs. Geode vs. Google Cloud Spanner vs. JanusGraph

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDrizzle  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Geode 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.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websitealasql.orggeode.apache.orgcloud.google.com/­spannerjanusgraph.org
Technical documentationgithub.com/­AlaSQL/­alasqlgeode.apache.org/­docscloud.google.com/­spanner/­docsdocs.janusgraph.org
DeveloperAndrey Gershun & Mathias R. WulffDrizzle project, originally started by Brian AkerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleLinux Foundation; originally developed as Titan by Aurelius
Initial release20142008200220172017
Current release7.2.4, September 20121.1, February 20170.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++JavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
OS X
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infowith proprietary extensionsSQL-like query language (OQL)yes infoQuery statements complying to ANSI 2011no
APIs and other access methodsJavaScript APIJDBCJava 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
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJavaScriptC
C++
Java
PHP
.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnonouser defined functionsnoyes
Triggersyesno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication with 3 replicas for regional instances.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDyes, on a single nodeACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph Server

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More resources
AlaSQLDrizzleGeodeGoogle Cloud SpannerJanusGraph infosuccessor of Titan
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