SliceUp
In-memory time-series database
SliceUp is classified as Developer tools from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to SliceUp
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Memgraph
match 50Highly scalable and high performance in-memory graph database.
shared extracted concept terms: memory, database; shared product terms: memory, database; shared product theme: context and memory, developer infrastructure; same category: Developer tools; shared affiliation: Techstars
KeyDB
match 49KeyDB is a fast key value database that combines in memory caching and FLASH persistence in a single package.
shared extracted concept terms: memory, database; shared product terms: database, memory; shared product theme: context and memory, developer infrastructure; same category: Developer tools
The Forecasting Company
match 36The Forecasting Company builds planning systems based on our in-house foundation models for time series.
shared extracted concept terms: time, serie; shared product terms: time, serie
Kern Systems
match 31DNA has emerged as a compelling data storage medium due to its density, longevity, and eternal relevance compared to current memory technologies. However, the high price of synthesizing DNA remains a major bottleneck for adoption of this promising storage solution. We are pioneering new approaches to synthesizing DNA for data storage with enzymes and custom digital codecs. We are building an interdisciplinary team to build the world's most scalable information infrastructure in DNA. We seek tech
shared extracted concept terms: memory; shared product terms: memory; shared product theme: context and memory, developer infrastructure; same category: Developer tools
Embeddable
match 27Trevor lets your whole team query and learn from your database data.
shared extracted concept terms: database; shared product terms: database; shared product theme: developer infrastructure; same category: Developer tools; shared affiliation: Techstars