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DBMS > Axibase vs. c-treeACE vs. Google Cloud Datastore vs. Warp 10

System Properties Comparison Axibase vs. c-treeACE vs. Google Cloud Datastore vs. Warp 10

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonc-treeACE  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Document storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#247  Overall
#15  Time Series DBMS
Score0.52
Rank#206  Overall
#34  Key-value stores
#99  Relational DBMS
Score4.81
Rank#67  Overall
#12  Document stores
Score0.06
Rank#300  Overall
#24  Time Series DBMS
Websiteaxibase.com/­products/­axibase-time-series-databasewww.faircom.com/­-products/­-c-treeacecloud.google.com/­datastorewww.warp10.io
Technical documentationgithub.com/­axibase/­atsdlearn.faircomcorp.com/­developers/­documentation_directorycloud.google.com/­datastore/­docswww.warp10.io/­content/­02_Getting_started
DeveloperAxibase CorporationFairCom CorporationGoogleSenX
Initial release2013197920082015
Current release15585V11.5, November 2017
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infoRestricted, free version availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++Java
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hostedLinux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyes, ANSI Standard SQL Typesyes, details hereyes
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 indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageyes infoANSI SQL queriesSQL-like query language (GQL)no
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++using Google App Engineyes infoWarpScript
TriggersyesyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-Master replication using Paxosselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infowhen using SQLyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Mandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Axibasec-treeACEGoogle Cloud DatastoreWarp 10
Specific characteristicsSpeed, reliability and consistency are the reasons businesses choose FairCom’s c-treeACE...
» more
Competitive advantagesTop Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Typical application scenariosc-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
Key customersVISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more

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Axibasec-treeACEGoogle Cloud DatastoreWarp 10
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