Apache Spark
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Data enrichment
- Predictive analytics
- Drag-and-drop model building
- Data set maker
- Automated data preparation
- AutoML
- Monitoring
Pricing Info
Pricing Info
Pecan’s pricing plans are available by quote. You may contact the vendor through its official website to request for a tailored quote.
Integrations
Integrations
Pecan integrates with a wide range of third-party and external business applications, including the following:
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Oracle
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Snowflake
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Salesforce
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AWS
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Google Big Query
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Google Adwords
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Hubspot
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Adjust
-
Amazon Redshift
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AppsFlyer
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ClickHouse
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Databricks
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Delta table
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Firebase
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GCS – parquet
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IBM Db2
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Microsoft SQL Server
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MySQL
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PostgreSQL
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Singular
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Other data and marketing platforms
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Johnson&Johnson
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A predictive analytics app that helps businesses solve critical problems and make smarter and data-driven business decisions.
Company Email
Company's Address
Sapir Tower, Tuval 40
Floor: 24, Ramat Gan, 52522
Israel
Pecan Comparisons
Popular Pecan Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Generality
- Combine SQL, Streaming, and Complex Analytics
- Run Workloads 100 Times Faster
- Ease of Use
- Runs Everywhere
- Standalone Cluster Mode
- Deploy to Cloud Environments
- Stack of Libraries Which Can be Combined in The Same Application
- Spark SQL
- Mix SQL Queries with Spark Programs
- Uniform Data Acess
- DataFrame API
- Spark Streaming
- Build Scalable and Fault-Tolerant Streaming Applications
- High-Level Streaming Operators
- Combine Streaming with Batch and Interactive Queries
- Machine Learning
- High-Quality Algorithms
- Usable in Java, Scala, Python, and R
- Seamlessly Work with Both Graphs and Collections
- Fast Graph Processing System
- Graph Operators and Algorithms
Pricing Info
Apache Spark is delivered based on the Apache License, a free and liberal software license that allows you to use, modify, and share any Apache software product for personal, research, commercial, or open source development purposes for free. Thus, you can use Apache Spark with no enterprise pricing plan to worry about.
Integrations
Apache Spark integrates with some open source projects developed by The Apache Software Foundation as well as with third-party systems such as the following:
- Apache Hadoop
- Apache Mesos
- HDFS (Hadoop Distributed File System)
- Apache Cassandara
- Apache HBase
- Apache Hive
- Hadoop YARN
- Kubernetes
- EC2
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Anson Abraham, Data Czar, Envisagenics, Inc; Kartik Chavan, Data Analyst, The University of Texas at Arlington; Sunil Dhage, Big Data Analyst, PSL Group
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
An easy-to-use, lightning-fast, and unified analytics software solution developed to handle computational processes and tasks on high volumes of data, process SQL queries for structured data, streamline the creation of scalable and fault-tolerant applications that execute live stream data processing, and implement graph analytics and computation in a flexible and fast manner.
Company Email
apache@apache.org
Contact No.
Company's Address
The Apache Software Foundation
401 Edgewater Place, Suite 600
Wakefield, MA 01880
U.S.A.
Apache Spark Comparisons
Popular Apache Spark Alternatives
No Data Analytics Software will be able to cover all the requirements of a business. Even though core features of Pecan and Apache Spark are obviously a priority you should also thoroughly analyze the integrations supported by every app. Very often you will already be working with some other SaaS software in your company and it’s always better to choose software that integrate well with each other. That way you will be able to guarantee an effortless transfer of information between your teams and apps, which can really reduce time devoted to migrating between one app and the next.
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