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Apache Ignite VS StepZen

Compare Apache Ignite VS StepZen and see what are their differences

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Apache Ignite logo Apache Ignite

high-performance, integrated and distributed in-memory platform for computing and transacting on...

StepZen logo StepZen

A low code way to create GraphQL APIs for any backend—REST, SQL, NoSQL, SOAP/XML. Deploy a single or federated graph to StepZen's cloud and run with built-in parallel execution, security for APIs and data, and performance & reliability optimizations.
  • Apache Ignite Landing page
    Landing page //
    2023-07-08
  • StepZen Landing page
    Landing page //
    2023-09-24

StepZen provides a unique low code approach to creating GraphQL APIs for any data source—REST, SQL, NoSQL, SOAP/XML, and GraphQL. With one command, you can specify your backend; StepZen introspects it and generates the schema for you. Then, with a few lines of code and powerful directives (@rest, @dbquery), you can quickly customize a schema—or write one from scratch. Another directive (@materializer) lets you stitch graphs together, seamlessly scaling GraphQL across teams and domains. In addition, by using @materializer, you avoid managing concerns across subgraphs, writing stubs of types, and other complexities.

Whether you deploy a single graph or a federated graph-of-graphs, with one command, you deploy it to StepZen's highly available cloud. Automatic parallelized execution, security and control of your APIs and data, and performance and reliability optimizations are built-in. So we keep your GraphQL infrastructure secure and stable so you can focus on your business.

Apache Ignite features and specs

  • In-Memory Data Grid
    Apache Ignite provides a robust in-memory data grid that can drastically improve data access speeds by storing data in memory across distributed nodes.
  • Scalability
    The system is designed to scale horizontally, allowing users to add more nodes to handle increased loads, thereby ensuring high availability and performance.
  • Distributed Compute Capabilities
    Ignite supports parallel execution of tasks across cluster nodes, which is beneficial for complex computations and real-time processing.
  • Persistence
    Although primarily in-memory, Ignite offers a durable and transactional Persistence layer that ensures data can be persisted on disk, providing a hybrid in-memory and persistent storage solution.
  • SQL Queries
    Ignite offers support for ANSI-99 SQL, which allows users to execute complex SQL queries across distributed datasets easily.
  • Integration
    It integrates well with existing Hadoop and Spark setups, allowing users to enhance their existing data pipelines with Ignite’s capabilities.
  • Fault Tolerance
    Apache Ignite includes built-in mechanisms for recovery and ensures that data copies are maintained across nodes for resilience against node failures.

Possible disadvantages of Apache Ignite

  • Complexity
    Apache Ignite can be complex to set up and manage, especially when configuring a large, distributed system with multiple nodes.
  • Resource Intensive
    Running an in-memory data grid like Ignite requires significant memory resources, which can increase operational costs.
  • Learning Curve
    Due to its comprehensive features and distributed nature, there is a steep learning curve associated with effectively utilizing Ignite.
  • Configuration Overhead
    There is substantial configuration overhead involved to optimize performance and ensure proper cluster management.
  • Community Support
    Although it has active development, the community support might not be as robust compared to other more mature solutions, possibly leading to challenges in finding solutions to niche issues.
  • YARN Dependence
    For those looking to integrate with Hadoop, Ignite's optimal performance is sometimes reliant on Hadoop YARN, which can introduce additional complexity.

StepZen features and specs

  • Ease of Integration
    StepZen simplifies the process of integrating various APIs by allowing developers to create GraphQL endpoints with minimal configuration.
  • GraphQL Optimization
    StepZen automatically optimizes GraphQL queries, improving performance by minimizing over-fetching and under-fetching of data.
  • Developer Experience
    The platform offers a robust set of tools and an intuitive interface, enhancing the overall developer experience when building and deploying APIs.
  • Unified Data Layer
    StepZen enables the creation of a unified data layer, making it easier to aggregate and manage data from multiple sources.
  • Customization
    With StepZen, developers can customize their GraphQL endpoints to cater to specific use cases and business requirements.

Possible disadvantages of StepZen

  • Learning Curve
    Although it's designed to be user-friendly, new users might encounter a learning curve when getting acquainted with the tool's features and capabilities.
  • Cost
    Depending on the scale and number of integrations, using StepZen might incur additional costs that need to be justified against its benefits.
  • Limited Offline Support
    Since StepZen is primarily a cloud-based solution, it may have limited capabilities when it comes to offline or local development environments.
  • Dependency on External Service
    Relying on StepZen could make applications dependent on an external service, which may impact control over the development process and data handling.

Apache Ignite videos

+ Add

Best Practices for a Microservices Architecture on Apache Ignite

More videos:

  • Review - Apache Ignite + GridGain powering up banks and financial institutions with distributed systems

StepZen videos

+ Add

Build an API With The StepZen GraphQL Studio (API Workshop)

More videos:

  • Tutorial - Learn How To Query Any HarperDB Database With GraphQL Using StepZen

Category Popularity

0-100% (relative to Apache Ignite and StepZen)

Apache Ignite

StepZen

Databases
100 100%
Databases
0% 0
GraphQL
0 0%
GraphQL
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
APIs
0 0%
APIs
100% 100

User comments

Share your experience with using Apache Ignite and StepZen. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, StepZen should be more popular than Apache Ignite. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Ignite mentions (3)

  • API Caching: Techniques for Better Performance
    Apache Ignite — Free and open-source, Apache Ignite is a horizontally scalable key-value cache store system with a robust multi-model database that powers APIs to compute distributed data. Ignite provides a security system that can authenticate users' credentials on the server. It can also be used for system workload acceleration, real-time data processing, analytics, and as a graph-centric programming model. - Source: dev.to / 7 months ago
  • Ask HN: P2P Databases?
    Ignite works as you describe: https://ignite.apache.org/ I wouldn't really recommend this approach, I would think more in terms of subscriptions and topics and less of a 'database'. - Source: Hacker News / about 3 years ago
  • .NET and Apache Ignite: Testing Cache and SQL API features — Part I
    Last days, I started using Apache Ignite as a cache strategy for some applications. Apache Ignite is an open-source In-Memory Data Grid, distributed database, caching, and high-performance computing platform. Source: over 3 years ago

StepZen mentions (10)

  • Automatically Generate REST and GraphQL APIs From Your Database
    StepZen and AWS AppSync excel at generating GraphQL APIs for MySQL and NoSQL databases. StepZen simplifies the process of combining multiple data sources, while AppSync provides smooth integration with AWS services and real-time data capabilities. - Source: dev.to / 5 months ago
  • Query Real-time Data With GraphQL And Streaming Database
    StepZen is a platform to build and deploy GraphQL APIs that integrates and aggregate data from various sources. In the demo section, I will show how to build a GraphQL API in declarative code using StepZen. - Source: dev.to / almost 2 years ago
  • Using SingleStoreDB, WebAssembly and GraphQL
    The final step is to use GraphQL. We'll create a free account on StepZen. Once logged-in, we can access the Account, Admin Key and API Key. - Source: dev.to / about 2 years ago
  • How to use federation with a headless CMS?
    Have a look at https://stepzen.com, which allows you to federate any data source no matter the framework or service used to create it. It has a generous free tier. Source: over 2 years ago
  • Apollo Server v4 Breaking Changes. Time to move away?
    When moving away from Apollo Server, and you're looking for a replacement built with JavaScript or TypeScript, let me give you some options. If you want to keep building your GraphQL API schema first, you might want to consider Mercurius (which relies on Fastify) or GraphQL Yoga. If you're going to build your GraphQL API code or resolver first, have a look at TypeGraphQL or Nexus. Alternatively, there are great... - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing Apache Ignite and StepZen, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Graphweaver - Turn multiple data sources into a single GraphQL API

memcached - High-performance, distributed memory object caching system

OneGraph - OneGraph is a GraphQL service that wraps and connects the internet's SaaS APIs. Build integrations to Stripe, Intercom, Salesforce, Zendesk, GMail, and more 10-100x faster with OneGraph.

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