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DBMS > AnzoGraph DB vs. FileMaker vs. SpaceTime vs. Tarantool

System Properties Comparison AnzoGraph DB vs. FileMaker vs. SpaceTime vs. Tarantool

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFileMaker  Xexclude from comparisonSpaceTime  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFileMaker is a cross-platform RDBMS that includes a GUI frontend.SpaceTime is a spatio-temporal DBMS with a focus on performance.In-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelGraph DBMS
RDF store
Relational DBMSSpatial DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsRelational DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.claris.com/­filemakerwww.mireo.com/­spacetimewww.tarantool.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.claris.com/­resources/­documentationwww.tarantool.io/­en/­doc
DeveloperCambridge SemanticsClaris infoa subsidiary of AppleMireoVK
Initial release2018198320202008
Current release2.3, January 202119.4.1, November 20212.10.0, May 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
LinuxBSD
Linux
macOS
Data schemeSchema-free and OWL/RDFS-schema supportyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infovia pluginsA subset of ANSI SQL is implementedFull-featured ANSI SQL support
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Filemaker WebDirect
JDBC
ODBC
RESTful HTTP APIOpen binary protocol
Supported programming languagesC++
Java
Python
PHPC#
C++
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoLua, C and SQL stored procedures
Triggersnoyesnoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneFixed-grid hypercubesSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replication, warm standby infosince Version 14Real-time block device replication (DRBD)Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accounts and connection to external directory servicesyesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
AnzoGraph DBFileMakerSpaceTimeTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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