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DBMS > Axibase vs. Google Cloud Spanner vs. JanusGraph vs. Sphinx

System Properties Comparison Axibase vs. Google Cloud Spanner vs. JanusGraph vs. Sphinx

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA 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 2017Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSRelational DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­spannerjanusgraph.orgsphinxsearch.com
Technical documentationcloud.google.com/­spanner/­docsdocs.janusgraph.orgsphinxsearch.com/­docs
DeveloperAxibase CorporationGoogleLinux Foundation; originally developed as Titan by AureliusSphinx Technologies Inc.
Initial release2013201720172001
Current release155850.6.3, February 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxhostedLinux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesno
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 indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011noSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
Proprietary protocol (Network API)
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
Proprietary protocol
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph Serverno

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More resources
AxibaseGoogle Cloud SpannerJanusGraph infosuccessor of TitanSphinx
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