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DBMS > GeoSpock vs. RavenDB vs. SurrealDB vs. Teradata Aster vs. VoltDB

System Properties Comparison GeoSpock vs. RavenDB vs. SurrealDB vs. Teradata Aster vs. VoltDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonRavenDB  Xexclude from comparisonSurrealDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonVoltDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA fully ACID transactional, developer-friendly, multi-model DBMSPlatform for big data analytics on multistructured data sources and typesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSDocument storeDocument store
Graph DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.70
Rank#100  Overall
#19  Document stores
Score1.07
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
Score1.37
Rank#156  Overall
#72  Relational DBMS
Websitegeospock.comravendb.netsurrealdb.comwww.voltdb.com
Technical documentationravendb.net/­docssurrealdb.com/­docsdocs.voltdb.com
DeveloperGeoSpockHibernating RhinosSurrealDB LtdTeradataVoltDB Inc.
Initial release2010202220052010
Current release2.0, September 20195.4, July 2022v1.5.0, May 202411.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availableOpen SourcecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC#RustJava, C++
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
Linux
macOS
Windows
LinuxLinux
OS X infofor development
Data schemeyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 infoin Aster File Store
Secondary indexestemporal, categoricalyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query language (RQL)SQL-like query languageyesyes infoonly a subset of SQL 99
APIs and other access methodsJDBC.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
GraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Java
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyesR packagesJava
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per tableAuthorization levels configured per client per databaseyes, based on authentication and database rulesfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
GeoSpockRavenDBSurrealDBTeradata AsterVoltDB
Recent citations in the news

Mitsui Fudosan pinpoints GeoSpock for more funding -
9 January 2019, Global Corporate Venturing

Growth in geospatial data to enable more contextual understanding – Steve Marsh, GeoSpock
13 March 2018, Geospatial World

GeoSpock showcases rapid expansion with data insights
16 July 2018, Cambridge Independent

CoinGeek Conversations: The Technologists
1 September 2021, CoinGeek

Ola acquires GeoSpoc to build next-gen location technology
5 October 2021, The Economic Times

provided by Google News

RavenDB Welcomes David Baruc as Chief Revenue Officer: Seasoned Tech Leader to Drive Global Sales and Accelerate Growth
13 June 2023, PR Newswire

The Forrester Wave™: Big Data NoSQL, Q1 2019
13 March 2019, Forrester

provided by Google News

SurrealDB is helping developers consolidate their databases
18 June 2024, TechCrunch

SurrealDB Empowers Developers to Build Applications with the Launch of SurrealDB University
15 October 2024, Business Wire

Multi-model database startup SurrealDB raises $20M and announces cloud beta access
18 June 2024, SiliconANGLE News

SurrealDB Raises $20M in Funding
18 June 2024, FinSMEs

SurrealDB Delivers Future-Ready Database Technology for Developers and Enterprises with Release of SurrealDB 2.0
17 September 2024, Silicon Canals

provided by Google News

Northwestern Analytics Partners with Teradata Aster to Host Hackathon
23 May 2014, Northwestern Engineering

Teradata gears up for Internet of Things analytics
19 October 2015, CIO

Teradata's Aster shows how the flowers of fraud bloom
23 April 2015, The Register

Teradata Unveils Powerful Analytics Platform
23 October 2017, PR Newswire

Breakthrough Teradata Software Pushes the Analytic Edge with Internet of Things Data
19 October 2015, IoT Business News

provided by Google News

VoltDB Makes Key New Hires to Accelerate Telco Business Growth
28 October 2021, The Fast Mode

Coppel Mexico Picks VoltDB to Power Customer Profiles
10 June 2021, PR Newswire

MemSQL, VoltDB Vie For In-Memory Big Data Role
12 February 2015, InformationWeek

Unveiling Volt Active Data’s game-changing approach to limitless app performance
16 October 2023, YourStory

New startup from Postgres creator puts the database at heart of software stack
12 March 2024, TechCrunch

provided by Google News



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