Best Application Development Software for Yelp

Find and compare the best Application Development software for Yelp in 2024

Use the comparison tool below to compare the top Application Development software for Yelp on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    DataGrip Reviews

    DataGrip

    JetBrains

    $199 per year
    2 Ratings
    DataGrip is our new database IDE, designed to meet the needs of professional SQL developers. You can execute queries in multiple modes. It also provides a local history which keeps track of your activity and protects your work from being lost. You can jump to any table or view by the name of the action or directly from the SQL code. This tool gives you a detailed insight into the behavior of your queries and the database engine behavior so that you can optimize your queries. DataGrip allows you to write SQL code more quickly by providing context-sensitive code completion. Completion can detect the table structure, foreign keys and even database objects that were created in the code you are editing. DataGrip will detect potential bugs in your code and suggest the best ways to fix them. It will instantly notify you of unresolved objects using keywords as identifiers. It also offers solutions.
  • 2
    StarfishETL Reviews

    StarfishETL

    StarfishETL

    400/month
    StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.
  • 3
    Martini Reviews

    Martini

    TORO Cloud

    $500 per month
    To integrate faster, join the growing community Martini(tm-using integration ninjas). Gloop takes out the tedious work of creating and managing services for data and application integration, building APIs, or managing data. Gloop makes it simple to perform common development tasks like mapping and transforming data and iterating over arrays, executing switch-case logic and invoking external codes, running jobs in parallel and many other tasks. Flux is Martini’s event-based workflow engine that manages asynchronous workflows as well as event-based triggers for Gloop microservices. Flux allows you to invoke Gloop microservices in a sequence, passing the output from one to the next, or in parallel. Flux will keep track of each execution. Flux workflows can be created visually by dragging Flux state onto a canvas, and then selecting the Gloop microservice to execute when the state is invoked.
  • 4
    Progress DataDirect Reviews
    Progress DataDirect is passionate about empowering applications with enterprise data. We offer cloud and on-premises connectivity solutions for relational, NoSQL and Big Data data sources. We design solutions for thousands of companies and top vendors in analytics, data management, and BI. Our high-value connectors are designed to reduce development costs for a variety data sources. For greater security and peace of mind, you can get 24/7 support from experts around the world. For faster SQL access, connect with easy-to-use and time-saving drivers. Our mission is to keep up with the changing trends in data connectivity. If we don't have the connector you need, we will help you design it. Integrate connectivity into an application or service.
  • 5
    Peaka Reviews

    Peaka

    Peaka

    $1 per month
    Integrate your data sources including relational and NoSQL database, SaaS and APIs. You can query them immediately as a single source of data. Process data wherever you are. Data from different sources can be merged, retrieved, and cached. Use webhooks for streaming data from Kafka or Segment into the Peaka Table. Real-time data access replaces nightly batch ingestion. Treat each data source as a relational database. Convert any API into a table and combine and join it with other data sources. Use familiar SQL to run queries on NoSQL databases. The same skills can be used to retrieve data from SQL and NoSQL database. You can query and filter your consolidated datasets to create new data sets. Use APIs to expose them and serve other apps or systems. Don't get bogged down with scripts and logs when setting up your data stack. Eliminate the burdens of managing and maintaining ETL pipelines.
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