Software Alternatives, Accelerators & Startups

Census VS Redis โ„ข

Compare Census VS Redis and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Census logo Census

the #1 Reverse ETL tool for data teams

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
  • Census Landing page
    Landing page //
    2022-12-20

Sync data from your warehouse into all your business tools with Census. Give every team the data they need to act and automate with confidence.

  • Redis Landing page
    Landing page //
    2022-10-19

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.

Census

$ Details
-
Release Date
2019 January
Startup details
Country
United States
State
California
Founder(s)
Anton Vaynshtok
Employees
10 - 19

Census features and specs

  • Data Integration
    Census provides an effective way to synchronize data between various tools and databases, offering seamless data integration capabilities.
  • No-Code Interface
    The platform's no-code interface allows business users to perform data operations without extensive technical knowledge, making it more accessible.
  • Real-Time Sync
    Census supports real-time data synchronization, ensuring that users have access to the most up-to-date information when needed.
  • Data Security
    Census offers robust security measures to protect sensitive data, giving users confidence in the privacy and safety of their information.
  • Scalability
    The platform is designed to scale with business needs, accommodating growing data volumes and integration complexity.

Possible disadvantages of Census

  • Cost
    For smaller businesses or startups, the cost of using Census might be high, potentially making it less accessible for those with limited budgets.
  • Learning Curve
    Despite its no-code interface, some users may still encounter a learning curve when initially using the platform, especially when dealing with complex data tasks.
  • Limited Customization
    While offering many features, there might be limitations in terms of customization options for specific business needs, requiring alternative solutions or workarounds.
  • Dependency on Third-Party Integrations
    Census relies on integrations with third-party tools, which can pose challenges if there are issues with connectivity or changes in those external services.

Redis features and specs

  • Performance
    Redis is an in-memory data store, which allows it to provide extremely fast read and write operations. This makes it ideal for applications requiring real-time interactions.
  • Data Structures
    Redis offers a variety of data structures, such as strings, hashes, lists, sets, and sorted sets. This flexibility helps developers manage data more efficiently in different scenarios.
  • Scalability
    Redis supports horizontal scalability with features like clustering and partitioning, allowing for easy scaling as your application grows.
  • Persistence
    Though primarily an in-memory store, Redis provides options for data persistence, such as RDB snapshots and AOF logs, enabling data durability across reboots.
  • Pub/Sub Messaging
    Redis includes a built-in publish/subscribe messaging system, which can be used to implement real-time messaging and notifications.
  • Simple API
    Redis has a simple and intuitive API, which can speed up development time and make it easier to integrate Redis into various application stacks.
  • Atomic Operations
    Redis supports atomic operations on data structures, reducing the complexity of concurrent programming and making it easier to maintain data consistency.

Possible disadvantages of Redis

  • Memory Usage
    Being an in-memory data store, Redis can become expensive in terms of memory usage, especially when working with large datasets.
  • Data Persistence Limitations
    While Redis offers data persistence, it is not as robust as traditional databases. There can be data loss in certain configurations, such as when using asynchronous persistence methods.
  • Complexity in Scaling
    Although Redis supports clustering, setting up and managing a Redis cluster can be complex and may require significant DevOps expertise.
  • Single-threaded Nature
    Redis operates on a single-threaded event loop, which can become a bottleneck for certain workloads that could benefit from multi-threading.
  • Limited Query Capabilities
    Compared to traditional relational databases, Redis offers limited querying capabilities. Complex queries and joins are not supported natively.
  • License
    As of Redis 6 and higher, the Redis modules are under the Server Side Public License (SSPL), which may be restrictive for some use cases compared to more permissive open-source licenses.

Census videos

The Census: Last Week Tonight with John Oliver (HBO)

More videos:

  • Review - Census Data Release Tees Up Congressional Redistricting Battles, Shows U.S. Growing More Diverse
  • Review - Review | This Census-Taker
  • Review - U.S. Census Bureau report finds 'racial gap' in 2020 population count
  • Review - 2020 Post-Census Group Quarters Review (PCGQR) Operation
  • Review - I Was Right About the Census

Redis videos

What is Redis? | Why and When to use Redis? | Tech Primers

More videos:

  • Review - Improve your Redis developer experience with RedisInsight, Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

Category Popularity

0-100% (relative to Census and Redis)
Analytics
100 100%
0% 0
Databases
0 0%
100% 100
Customer Data Platform
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Census and Redis

Census Reviews

2025 Guide | Best Hightouch alternatives
Like Hightouch, Census offers features that cover all CDP use cases (identity resolution, Reverse ETL, โ€œAudience Hub,โ€ etc.). Their pricing models are quite similar and the capabilities/performance of each are at the same level.
Source: www.dinmo.com

Redis Reviews

Database Management Systems (DBMS) Comparison: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle
Redis is an exceptionally fast in-memory data store that is known for its speed and versatility. It supports a broad range of use cases, including caching, real-time analytics, and pub/sub messaging, which makes it a go-to choice for performance-critical applications.
Source: blog.devart.com
20 Best Database Management Software and Tools of 2026
Redis is an open-source, in-memory data store used as a database, cache, and message broker for high-performance applications.
Source: infomineo.com
Redis Alternative for App Performance | Gigaspaces
Redis offers a RESTful API for accessing data stored within its in-memory technology data structures. This API provides a simple and efficient way to interact with Redis, enabling developers to leverage its capabilities seamlessly in their applications. Developers also need to manage the Redis cached data lifecycle, itโ€™s the application responsibility to store the data &...
Are Free, Open-Source Message Queues Right For You?
A notable challenge with Redis Streams is that it doesn't natively support distributed, horizontal scaling. Also, while Redis is famous for its speed and simplicity, managing and scaling a Redis installation may be complex for some users, particularly for persistent data workloads.
Source: blog.iron.io
Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
1. Redis: I'll start with Redis which I'd like to call the "original" key/value store (after memcached) because it is the oldest and most widely used of all. Being a long-time follower of Redis, I do know it's single-threaded (and uses io-threads since 6.0) and hence it achieves lesser throughput than the other stores listed above which are multi-threaded, at least to some...

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than Census. While we know about 237 links to Redis, we've tracked only 1 mention of Census. 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.

Census mentions (1)

  • From ETL and ELT to Reverse ETL
    A vibrant ecosystem of reverse ETL solutions is emerging, with startups like Hightouch, Census, Grouparoo (open source), Polytomic, Rudderstack, and Seekwell leading the charge. Even platforms like Workato are incorporating reverse ETL functionalities with differential sync capabilities. - Source: dev.to / almost 2 years ago

Redis mentions (237)

  • Standalone HTTP Server with Relic in Dart
    Why a cache server? Well, to be, a cache system is the smallest piece of software one can found everywhere. There is a reason why redis, memcached or many other projects like that are used by everybody: developers need a way to store data quick. It could be for a session, for temporary data or simply to avoid annoying the main core database. A cache service is easy to create (key/value store), and can become... - Source: dev.to / about 2 months ago
  • Infrastructure as Code Toolbox - Final Thoughts and Future Work
    Adding caching layers using services like Redis cache,. - Source: dev.to / 2 months ago
  • Why Synchronous Webhook Processing Is a Production Trap
    Redis works well as the queue layer for this pattern. The receiver appends events to a list or stream. Workers consume from the stream, update event status on completion, and move failed events to a dead-letter queue after exhausting retries. - Source: dev.to / 2 months ago
  • Buyer's Guide to Pick the Best LLM Gateway in 2026
    Bifrost supports dual-layer semantic caching with exact match and semantic similarity. Backend options include Redis for exact caching, Weaviate for vector-based semantic matching, and Qdrant as an alternative vector store. - Source: dev.to / 3 months ago
  • This is Cloud Run: A Decision Guide for Developers
    In-memory caching shared across instances. There are no sticky sessions by default (though session affinity is available on a best-effort basis). Each request might hit a different instance. If you need shared state, you need an external store like Redis or Memorystore. - Source: dev.to / 4 months ago
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What are some alternatives?

When comparing Census and Redis, you can also consider the following products

Hightouch - What if you could power real-time product experiences with the analytical horsepower of a data warehouse?

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

DinMo - Turn your customer data into profitable growth. Discover the composable CDP which makes it easy to collect, enrich, segment, and activate your customer data in all your business platform.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

RudderStack - Open-Source Customer Data Platform

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.