Redis โข VS Row Zero
Compare Redis VS Row Zero and see what are their differences
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Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Row Zero
Google Sheets
Microsoft Office Excel
Equals
LeapRows
OrcaSheets
Quadratic
Gigasheet
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.
Row Zero is the best spreadsheet for big data. It enables operations, finance, marketing, and other business teams to securely analyze and work with big data sets in a familiar and flexible spreadsheet. Row Zero can open 1 billion row data sets, connect directly to data warehouses, and support multi-user collaboration to make working with hosted data easy for anyone with spreadsheet skills. Because Row Zero spreadsheets run in the cloud, they eliminate the security risk of CSV exports and locally stored Excel spreadsheets. Row Zero closes the last-mile analysis gap helping business teams take insights from dashboards and turn them into actionable results.
Row Zero Features:
Speed and Performance - Row Zero is a spreadsheet that leverages cloud computing strategies to enable users to import, open, and interact, cell-by-cell, with 1 billion row data sets, like they would in Excel and Google Sheets but on a larger scale.
Connectivity - Row Zeroโs native connections to data warehouses provide efficiency gains for business teams who, instead of building one-off static analyses, like financial models and demand forecasts, can build them once using a connected table and schedule automated refresh. Row Zero also enables saving data from the spreadsheet to the data warehouse.
Collaboration - In order for data analysis to be valuable the work must be shared across teams, business units, and organizations. For this reason, Row Zero workbooks can be shared with viewer and editor permissions and support real-time collaboration for group work and facilitating efficient presentations.
Governance โ Row Zero runs in the cloud, enables sharing permissions (viewer and editor), and enforces data permissions from the data warehouses, eliminating the security risk of downloaded CSVs and emailed .xlsx files.
Security - Row Zero is SOC2 Type II certified and HIPAA compliant. The SOC II report and a BAA are available upon request.
Row ZeroRow Zero's answer:
Row Zero is the world's fastest spreadsheet, designed for big data sets. If a user already knows how to use a spreadsheet and needs to analyze or transform large data sets, Row Zero is the perfect tool. Data teams that serve large businesses can off-load ad-hoc and last mile analytics requests by enabling their business partners to work in Row Zero.
Row Zero's answer:
Row Zero's is a last mile analytics tool that enables business teams (marketing, operations, finance, etc...) to connect to cloud data warehouses and work with big data sets in a spreadsheet they already know how to use. BI tools are great for high level metric monitoring but the work initiated as a result of those dashboards needs to happen in a tool where business teams can see and interact with their data.
Row Zero's answer:
Business teams that need to work with big data sets but prefer a spreadsheet over writing SQL or rigid BI tools.
Row Zero's answer:
Row Zero was born out of our own frustrations doing data analysis on big data sets. Excel and Google Sheets don't easily connect to cloud data warehouses and have small row limits. We needed to open multi-million row data sets and analyze them quickly. Row Zero is the highly performant tool we wish we'd had.
Row Zero's answer:
Based on our record, Redis seems to be a lot more popular than Row Zero. While we know about 237 links to Redis, we've tracked only 8 mentions of Row Zero. 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.
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 / 3 months ago
Adding caching layers using services like Redis cache,. - Source: dev.to / 3 months ago
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 / 3 months ago
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
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 / 5 months ago
Try https://rowzero.com ? We have written a much faster spreadsheet engine and regularly work with 10M+ row datasets. - Source: Hacker News / 3 months ago
How large are you talking about? Have you tried https://rowzero.io? - Source: Hacker News / 10 months ago
You should check out Row Zero (https://rowzero.io). We launched on HN earlier this year. Our CSV handling is the best on the market. You can import multi GB csvs, we auto infer your format, and land your data in a full-featured spreadsheet that supports filter, sort, ctrl-F, sharing, graphs, the full Excel formula language, native Python, and export to Postgres, Snowflake, and Databricks. - Source: Hacker News / over 1 year ago
I've been working on a better spreadsheet for a while now. https://rowzero.io is 1000x faster spreadsheet than Excel/Google Sheets. It looks and feels like those products but can open multi GB data sets, supports Python natively, and can also connect directly to Snowflake/Databricks/Redshift. - Source: Hacker News / almost 2 years ago
We built our spreadsheet (https://rowzero.io) from the ground up to integrate natively with Python. Bolting it on like Microsoft did, or as an add in like xlwings, just feels second class. To make it first class, we had to solve three hard problems: 1. Sandboxing and dependencies. Python is extremely unsafe to share, so you need to sandbox execution. There's also the environment/package management problem (does... - Source: Hacker News / about 2 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Google Sheets - Synchronizing, online-based word processor, part of Google Drive.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Equals - A next generation spreadsheet with SQL data connections